Release Notes

Listing of all the techy updates

Resume Parser
Job Parser
Search & Match Engine
Taxonomy

15 October 2021
Latest Updates
 

The Extraction of the Responsibility Block Improved

7 October 2021
Latest Updates
  • The Extraction of Organization Improved.
  • The Extraction of Responsibilities with Keywords Improved for the English Language.
4 October 2021
Latest Updates
  • The Extraction of JobType and JobShift for the Russian Language Improved.
     
  • The Extraction of Minimum and Maximum Year of Experience for Spanish and English Language Improved.
     
  • The Extraction of Responsibility for Spanish and German Languages Improved.
23 September 2021

Latest Updates

  • The Extraction of Languages for the French Language Improved.

  • The Extraction of Organization Name (mentioned with keyword) Fixed for English and French Language.
15 September 2021

Latest Updates

  • The Extraction of JobType, JobShift, Salary, Minimum and Maximum Year of Experience Improved for the Russian Language.

  • The Extraction of Responsibility and PostedDate Improved for the Spanish Language.
2 September 2021

Latest Updates

  • The Extraction of AboutOrganization and Responsibilities Improved.
  • The Extraction of Job Type for the Polish Language Fixed.
26 August 2021

Latest Updates

  • The Extraction of Salary & Job Profile Improved for the Russian Language
26 August 2021

Latest Updates

  • Implementation of New Languages (Portuguese, Dutch, Turkish, Russian) Done.
19 August 2021

Latest Updates

  • The Extraction of JobShift Improved for the Japanese Language.
  • The Extraction of Job Profile, Job Shift, Contact PersonName, and Experience Improved for the Russian Language.
  • The Extraction of the Posted On Date and Close Date Improved for the Russian Language.
11 August 2021

Latest Updates

  • The Extraction of Job Code in Spanish and German Language Improved.

  • The Extraction of Job Type in Spanish and German Language Improved.

  • The Extraction of Degrees (mentioned with heading) in the French Language Improved.

  • The Extraction of Posting and Closing Date for German and Spanish Language Improved.

  • The Extraction of Age Limit Improved.
5 August 2021

Latest Updates

  • The Extraction of AboutOrganization Improved.

  • The Extraction of Responsibility Improved.

  • The Extraction of Languages Fixed.
29 July 2021

Latest Updates

  • The Extraction of Responsibility Improved

  • The Extraction of Job Code Improved

  • The Extraction of Minimum and Maximum Year of Experience Improved

 

21 July 2021
Latest Updates

  • The Extraction of the Minimum/Maximum Year of Experience Improved if Mentioned like 5- 6 meses.

  • The Extraction of Responsibilities Improved for the Polish Language.
30 June 2021

Latest Updates

  • Provided functionality to customize scoring weightage for sub-users.
  • Search on Filter is fixed.
24 June 2021

Latest Update

  • The Extraction of JDs for the Chinese Language Improved.
  • The Extraction of Job Type for the French Language is Fixed.
  • The Extraction of Responsibilities is Improved.
  • The Extraction of Certifications is Improved.

 

14 June 2021

Latest Updates

  • The Extraction of Company Name Improved for Chinese and Japanese Languages
  • The Extraction of Location (City, State) and PostedOnDate Improved for the Chinese Language.
  • The Extraction of PostedOnDate Improved for the French Language
  • The Extraction of responsibilities Improved.
21 May 2021

Latest Updation

  • The Extraction of Posted Date for the Polish Language Improved
  • The Extraction of the Closing Date for the English Language (Eg: Applications close: 24 May 2021) is Fixed
  • The Extraction of the Job Shift for the Portuguese Language Fixed
22 April 2021

Latest Updates

  • Extraction of organization, responsibilities, minimum experience, location improved for the Polish Language
  • Extraction of degree, location, about the organization, minimum experience improved for the French Language
  • Extraction of salary, interview type, job code improved for the Chinese Language
26 March 2021

Latest Updates

  • The Optimization for the Location Done
  • Improvement Made for the Extraction of Organization, Minimum- Maximum Experience, Job Profile, and Location for French and Polish Language
  • Improvement Made for Extraction for SalaryOffered Text, Organization, Contact Name, Job code, ContactName, and Phone Number for the German language
  • Improvement Made for the JobCode, JobShift, JobProfile, Organization, and Location for the Portuguese and Italian Language
  • Posted Date like - 17th Mar, 2021 Fixed.
  • Phone number Contains Slashes (/) Fixed. 
17 March 2021

Latest Updates 

  • For the Portuguese Language, the Extraction of JobCode, JobShift, Responsibilities, and Location Improved.

  • For the German and Spanish Language, the Extraction of JobCode, PhoneNumber, Website, Responsibilities, AboutOrganization, and Contact Person Name Improved.

  • For the French Language, the Extraction of Responsibility, Job code, Location, Organization, AboutOrganization, and JobProfile Improved.

  • For the Japanese Language, the Extraction of Organization and JobProfile Improved.
4 March 2021

Latest Updates 

  • Chinese and Japanese Languages are Introduced in JD Parser.

  • The Extraction of the Job Title like NET Developer/.NET/Web Developer (i.e . (dot) in starting of a title)) are fixed.
4 March 2021

Latest Updates 

  • Implementation of new functionality (sorting) in search and match of documents - You can sort your results by selecting further fields shown in sorting.
 
Resume Fields: score, ResumeLanguage, ResumeCountry, DateOfBirth, Category, SubCategory, CurrentJobProfile, CurrentEmployer, TotalExperienceInMonths, TotalExperienceInYear, TotalExperienceRange, City, State, Country, ZipCode, ResumeDate

JD Fields: score, JobProfileTitle, JobLocationCity, JobLocationState, MinimumYearsExperience, Organization, MinimumYearsExperience, MaximumYearsExperience, SalaryMinAmount, SalaryMaxAmount, TotalExperienceRange, ResumeDate
 
- Addition of New Fields in One to One Match Response -  Add ResumeJSON and JD JSON fields in response.
"ResumeJSON" : "Resume Parsed Data in JSON Form"
"JDJSON": "JD Parsed Data in JSON Form"
3 February 2021

Latest Updates 

  • With the implementation of the new feature excludeDocumentIds in search and match, now documents can be excluded by providing document ids while searching and matching.

7 January 2021

Latest Updates

  • Implementation of new method deleteAllDocs - Delete All Documents based on provided user key and sub-user Id
  • While Indexing, Searching, and Matching, Return Documents Id without the combination of user key and sub-user Id
 

 

19 February 2021
Latest Updated 
  • Extraction for Organization, Location (city, state) Improved
  • Extraction of Multiple Emails Fixed
  • Extraction of the Responsibilities for Multi Languages Improved
  • Improvement made for the website, Interviewer Name, and Dates (Posting Date/Closing Date/ Interview Dates) Extraction.
RELEASE NOTES OF DEEP LEARNING MODULE

Improvements

  • Entity Tagging from NLP with Deep learning for Organization, Job, Degree, and Institutes
  • PDF conversion improvement for column and parallel formats
  • Multiple keyword block heading tagging and splitting (e.g Education, Certification and Trading will be considered as education block)
  • USA address city, state extraction improvement
  • Combine/complete multi-job profile in employment (e.g. Manager/Team Lead/Administrator)
  • Tagging/Extracting institute, degrees with fuzzy logics
  • Improvement in Institute and degree name completion
  • Improvement in tagging/extracting employer w.r.t Location, Job profile and Job period
  • Improvement for address city for UK when the city is present in multiple countries
  • Improvement for address w.r.t UK ZIP code
  • Improvement for Singapore and Hongkong addresses

Bug Fixing

  • PDF header text issue fixing
  • Start and end date fixing in education when education period is a current period (e.g 2018 - Present)
  • Fixing entity issue for apostrophe('s) for Degree, Institute, Sub-institute, and Employer

New Technologies Used

  • Tensor-flow
  • Spacy
  • Word2vec/Glove
  • CRF (Conditional Random Fields)
  • RNN (Recurrent Neural Network)
  • Backward Propagation
  • Gradient Descent
  • LSTM (Long short-term memory)
  • Graph DB
  • Weka NER
  • Maximum Entropy
  • HMM
  • Brat
  • Text Normalization
  • Data Normalization
  • Pattern matching
  • Tagging
  • Fuzzy matching
  • Case analysis
  • Order analysis
  • Delimiter analysis
  • Length analysis
  • Domain analysis
  • Gap analysis
  • Density analysis
  • Semantic analysis
  • Sentence Analyzer
  • NLP
  • Machine Learning
  • Image Analyses (Face Detection)
  • Language Detection
7 October 2021

Latest Updates

  • The Extraction of Job Profiles, if it is mentioned with Branch Like: "Senior Associate, Forensics", "Graduate Associate, Technology and Operations” etc. Improved.
  • The Extraction of Candidate Name, Address and Salary (Expected and Current Salary) Improved.
  • The Extraction of Employer for the Chinese Language Improved.
  • The Extraction of Experience Block Improved.
  • The Extraction of Language Known for the French Language Improved.
14 October 2021

Latest Updates

  • The Extraction of Employer Improved for the Polish Language
  • The Extraction of Job Periods Improved for the Spanish Language.
  • The extraction of Phone Numbers Improved for the German Language.
  • The Extraction of Degree Name and Aggregate Value in Qualification Improved for the Portuguese Language.

 

13 October 2021
Latest Updates
  • The Extraction of Single Job Period Improved
  • The Extraction of Visa Status and Address Improved for the English Language.
  • The Extraction of Institute Name Improved for the Portuguese Language.
  • The Extraction of Phone Number Improved for the Spanish Language.
7 October 2021
Latest Updates
  • The Extraction of Job Profiles, if it is mentioned with Branch Like: "Senior Associate, Forensics", "Graduate Associate, Technology and Operations” etc. Improved.

  • The Extraction of Candidate Name, Address and Salary (Expected and Current Salary) Improved.

  • The Extraction of Employer for the Chinese Language Improved.

  • The Extraction of Experience Block Improved.

  • The Extraction of Language Known for the French Language Improved.
5 October 2021
Latest Updates
  • The Extraction of Job Periods Improved for the Chinese and English Language

  • The Extraction of Degrees Improved in Qualification

  • The Extraction of Address Improved for Spanish and German Language

  • The Employer and Job Profile Extraction Improved for the LinkedIn Resumes
29 September 2021

Latest Updates

  • The Extraction of Employer and JobProfile Improved for English Language Resumes.

  • The Extraction of Aggregate Value in Qualification Improved for English Language Resumes.

  • The Extraction of Experience Block Improved.

  • The Extraction of Employer Name Improved for Italian Language Resumes.
23 September 2021

Latest Updates

  • Performance is Improved for the PDF Resumes.

  • The Block Extraction Improved.

  • The Extraction of Aggregate Values Improved in the Qualification Section.

  • The Improvement made in the Extraction of Addresses mentioned
    in the Tabular Format.

  • The Extraction of Name and Address for Portuguese and Italian Language Improved.

  • The Extraction of Job Profiles for Spanish and German Languages Improved.

  • The Extraction of Job Periods for the Chinese Language Improved.
17 September 2021

Latest Updates 

  • Performance Optimization of Parser

  • The Extraction of Employer Name and Job Profile Improved.

  • The Extraction of Degrees Name Improved.

  • The Extraction of Address (Candidate's Address) Improved.

  • The Extraction of Education and Experience Improved for LinkedIn Resumes.

  • The Extraction of Linkedin URLs Improved.
15 September 2021

Latest Updates

  •  Performance Optimization for Encrypted Database.
  • Updated ONet Database
  • Updated Esco Database.
14 September 2021

Latest Updates

  • Performance Optimization of Parser

  • The Extraction of Education Periods Improved for the Japanese Language

  • The Extraction of Job Periods Improved in the Experience Section for the Spanish Language.

  • The Extraction of Languages (LanguageKnown) Improved for German and Spanish Language.

  • The Extraction of Name (Candidate Name) Improved

  • The Extraction of Employers Improved for the Polish Language.

  • The Extraction of Address Improved for the German Language.
8 September 2021

Latest Updates

  • Performance Optimization of Parser Improved

  • The Extraction of University Name in Qualification Improved

  • The Extraction of Address & Job Periods Improved for the Portuguese Language

  • The Extraction of Phone Numbers Improved for the Spanish Language

  • The Extraction of Candidate Names Improved for the Chinese language

  • The Extraction of Experience and Education Block Improved

  • The Normalization of Job Periods Fixed for the Japanese Language
31 August 2021

Latest Updates 

  • The Extraction of Qualification Improved for Russian and Dutch Language.

  • The Extraction of Job Periods Improved for Chinese, Spanish, and German Languages.

  • The Extraction of Employer Name Improved for the German and Spanish Language.

  • The Extraction of Job Profiles (mentioned with heading) Improved for the Chinese Language.

  • The Extraction of Candidate Name Improved.
25 August 2021

Latest Updates

  • The Extraction of Degree Name and Institute Improved for the Dutch Language.

  • The Extraction of Formatted Job Period Fixed for the Japanese Language.

  • The Extraction of Percentage Improved in Qualification.
Following Improvements for the Russian Language:
  • The Extraction of Languages (LanguageKnown) Improved.

  • The Extraction of Job Periods for Experience Block Improved.

  • The Extraction of Degrees Improved.
23 August 2021

Latest Updates 

  • The Performance of the Parser is optimized.
  • The Extraction of Job Period ( for a format like mm-mm.dd) Improved.
  • The Extraction of Start Date and End Date Improved for the Polish Language.
  • The Extraction of Candidate Name Fixed.
18 August 2021

                             Latest Updates

  • The Extraction of Languages (LanguageKnown) for the French and Spanish Language Improved.

  • The Extraction of Phone Numbers for the Italian Langauge Improved.

  • The Extraction of Job Profiles for the Spanish Language Improved.

  • The Extraction of the Experience Block Improved.
13 August 2021

Latest Updates

  • Improvement Made in the Extraction of Address for the Portuguese Language
  • Improvement Made in the Extraction of Job Periods (education and Experience) in the Chinese Language.
  • Improvement Made in the Extraction of Address for the Spanish Language
  • Improvement Made in the Extraction of Email Addresses (e.g., abc@mail . c o m)
10 August 2021

Latest Updates

  • The Extraction of Employer and Job Profile from the Description/Responsibility Block(mentioned with Bullets/Hyphen) For Multilingual Resumes Improved.

  • The Performance of Parser Improved.
    The Extraction of Qualification Periods in the Japanese Language Improved.

  • The Extraction of Personal Information in the Dutch and Russian Languages Improved.

  • The Extraction of Job Periods for the Spanish and Russian Languages Improved.
4 August 2021

Latest Updates

  • The Extraction of Address for the French Language & Qualification Periods for the Portuguese Language Improved.

  • The Extraction of Job Periods of Experience Block for the Japanese Language Improved.

  • The Extraction of Personal Information for the Russian Language Improved.

  • The Extraction of Periods of Education and Experience for the Russian Language Improved.
30 July 2021

Latest Updates

  • The Extraction of Job Period in the English Language Improved

  • The Extraction of Formatted Job Period of Japanese Language.

  • The Extraction of Resume Country Fixed.

  • The Extraction of Address Portion for the Russian Language Improved.

  • The Extraction of Job Periods in the Portuguese, Chinese, Russian and Spanish Languages Improved.

  • The Extraction of Personal Information for the Russian Langauge Improved.

  • The Extraction of Multi-line Degrees for PDF Files Improved.
26 July 2021

Latest Updates

  • The Extraction of Job Profiles for the Japanese Language Improved.

  • The Extraction of Job Period for Chinese & Spanish Langauge Improved.

  • Nationality Extraction for the Russian Langauge Improved.

  • The Extraction of Candidate's Address Improved.
21 July 2021

Latest Updates 

  • The Extraction of Job Period (start date and end date), e.g., 09/2016 - Até o momento for the Portuguese Language Improved.

  • The Extraction of Employer Name if Mentioned with Keyword like SA DE CV in the end for the Portuguese Language (e.g., INFRA S.A. DE C.V) Improved.

  • The Extraction of the following Job Periods(start date, end date, and formatted job period) Improved :
    1) 2011. 04. 01.-2014. 05. 30.2011.
    2) febr. 01.- present
    3) Winter, 2020 / Summer, 2020
  • The Extraction of Swedish Phone Numbers Improved.

  • The Resumes Contains the String/Text Without any Line Break Fixed, the Process for Sentence Tokenization Implemented for such a Scenario.

  • The Extraction of Experience Block Improved.

  • The Resumes are Fixed; if the Average of Words Founded Per No of Lines is Less than three or the average of Characters Founded Per No of Lines is Greater than 1000, the Error Response will be returned with the Error Code: 1014.
15 July 2021

Latest Updates

  • Improved Made in the Extraction of Experience Block through the Present Period is Not Mentioned.
  • The Extraction of Portuguese Job Period like maio 2007 a outrubro 2007 is Fixed.
23 June 2021

Latest Updates 

  • The Extraction of Employer Name for the Portuguese Language Improved.
  • The Extraction of Keyword-Based Profiles/Employers Extraction for Multilingual Resumes Improved.
  • The Spanish Job Period Extraction Improved for the Following Formats:

    FECHA DE INICIO,FECHA DE RETIRO,Fecha de inicio in multiple lines.
    Enero 05 de 2017-Enero 15 de 2018
  • Japanese Job Periods Extraction Improved.
  • Autocompletion Algorithm Improved for Employer Name if Detect Half by Models for the Spanish Language. 
  • The French Job Period Extraction Improved for the Following Format:

Juillet 2007 , Novembre 2007 (separated with comma)

  • Extraction for the Italian Phone Numbers Fixed.
7 June 2021

Latest Updates

  • Extraction of Job Period (Start Date, End Date) in Experience for the Spanish Language Improved
    i. septiember 2018 al 29 julio de 2019
    ii. SEP. 2007 a nov .de 2010
    iii. 01/12/2001 hasta 01/08/2019

  • Extraction of Job Period (Start Date, End Date) in Experience for the Portuguese Language Improved
    i. 03/02/2014 saída 04/05/2015
    ii. JANEIRO DE 2016 - ATÉ JUNHO DE 2016

  • Extraction of Job Period (Start Date, End Date) in Experience for the French Language Improved
    i. De février 2019 à - juin 2019

  • Extraction of Marital Status for the Spanish Language Improved

  • Extraction of ZipCode for the French Language Improved

  • Extraction of address (if Date Of Birth UR. 03.05.1998 pattern is extracted in StreetAddress) for Polish Language Fixed.
20 May 2021

Latest Updates 

  • The Extraction of Project Details Improved
  • The Extraction of the Multiline Job Period for Japanese Language Improved
  • The Extraction of Organization Name (Eg. if mentioned with Pvt., Ltd ) for Chinese Langauge Improved
  • The Extraction of the Date of Birth ( Eg. 昭和 53 年 5 月 30 日生(満 41 歳)) and Phone Number for the Japanese Language Improved
  • The Extraction of the following Job Period for Japanese Language Improved:
    i. 2016 年 11 月～現在迄 (From November 2016 to the present)
    ii. 2006 年 9 月～現在 (September 2006-present)
  • The Extraction of Job Period like 10/2019 - Aktuell for German Langauge Improved
  • The Extraction of Job Period like June 06/2020 - October 10/2020 Improved
  • The Extraction of Date of Birth for the Format - dd:MM:yyyy (Eg. 20:04:1006) Fixed
3 May 2021

Latest Updates 

  • The extraction of Skill, Education, and Experience block for Microsoft Resume Format improved.
  • The extraction of the Start Date, the End Date of Education for Chinese Resumes improved.
  • The extraction of Nationality and Employer names for the Chinese Language improved.
  • The extraction of the Candidate Name, Phone Number, and Gender for the Japanese Language improved.
  • The Address and Job profile Issue for the French Langauge fixed.
  • The extraction of the following Job Periods present in both Education and Experience improved:
    i. 2019/10 2016/20, i.e., No Splitter is mentioned in between date.
    ii. From November 26, 2012, to December 18, 2015
    iii. 20May2020 to 30June 020, i.e., No space between day, month, and year
    iv. Since May 20, 2020
    v. 2020 - 02 - till
  • The extraction of the Education period like - 2020 - 02 - 2020 - 10 improved.
22 April 2021

Latest Updates

  • Improvement made in performance optimization of parser
  • Improvement in the fetching of Employer Location (city) if the City Name is also the Last Name like Elizabeth, Jackson, etc. Eg.  Elizabeth, NJ will now be extracted.
  • Date of birth extraction for the Japanese language improved
  • Extraction for the candidate name, address, website improved for the Polish language
  • Improvement made in extraction for the job period like:
    i) Aug. 15, 2020 - Present
    ii)Sommer 2019
    iii) Julio 12 de 2009 – Enero 02 de 2012 or Octubre 1/2016 - Enero 15/2017
  • Extraction of Social URL included (like LinkedIn, Facebook, Indeed, Skype) from the whole resume, previously we are extracting it only from the personal block and the top details
6 April 2021

Latest Updates

  • Candidate name issue fixed in PDF resumes if mentioned on the right side, e.g., John M. Deo (i.e., with Father Name)
  • Extraction of job period improved for the format like - MM’01-MM’08
26 March 2021

Latest Updates

  • Performance Optimization of the Parser Improved
  • Job Period Extraction for the Period like March 2020 - Continue Improved 
  • Project Name Extraction in Experience Improved 
18 March 2021

Latest Updates

  • The Extraction of the Job Period Like - 2018 -present till (i.e When 'Present' and 'Till' Dates Mentioned Together) Improved.
  • The Extraction of Institute Names for Education Improved.
  • The Extraction of Candidate Name for LinkedIn Resumes Fixed. 
5 March 2021

Latest Updates

  • The Extraction of Personal Information for the Japanese Language Improved

  • The Extraction for Japanese Education Improved

  • The Extraction of Job Period in Experience if Mentioned with Heading Start Date and End Date. Eg. Start Date: October 2020 End Date: December 2020 Fixed
1 March 2021

Latest Updates

  • Improvement made in Extraction of Start/End Date for Experience and Candidate name and address for the Japanese Language

  • Indeed Resumes for Contact Information Improved

  • Extraction of Start Date, End Date, and FormattedJobPeriod for the Job Period (like August 2020 through November 2020) Improved.

  • Extraction of Education Period Fixed for Period mentioned like 2006 (2002 - 2006).

  • Job Periods like April 2014 May 2015 are Fixed, i.e., no splitter is Mentioned inbetween period.
16 February 2021

Latest Updates

  • Employer Extraction for Japanese and Chinese Languages Improved.
  • Improvement made in the logic used for the Calculation of Total Work Experience.
  • Job Period Extraction for the Portuguese Languages Improved.
  • Extraction of Education Improved for
    Passport detail extraction (Passport Number, Date of Issue, Date of Expiry, and Place of Issue) and Visa for Spanish, Italian, Polish, German, Chinese Language are Fixed.
3 February 2021

Latest Updates

  • New Profile Keywords are added for Japanese Resumes.
  • Improvement made in the candidate name extraction for the PDF resume in column format.
  • The education portion improved.
  • Formatted phone number fixed for Singapore.
  • Period extraction improved for the pattern like 2020-02-2021-01 in education.
21 January 2021

Latest Updates 

  • Following Improvements Made for Japanese Resumes:
    a).     Fetching of Job Periods
    b).     Extraction for Start and End Date
    c).     Extraction of Employer Name
  • Period Extraction Improved for Job Period Like- Mar 2020, Jan 2021
13 January 2021

Latest Updates

  • Job Period Data Extraction for the Portuguese Language Improved
  • Address Issue Fixed if 3-4 words Certification is Extracted in Address
29 December 2020

Latest Updates 

  • Implementation of new method getDocumentIds - Get id's of all indexed documents (Resumes/JD)
  • Implementation of new method getDocumentDetail - Get detailed information of document with the id that we save in our search engine
  • Implementation of new method checkDocumentIndex - To verify the document is indexed or not with the given unique id   
  • Implementation of new method getSubUserIds - Get the list of all sub-user id's
  • Implementation of new method matchWithMultipleSubUserIds - Get Documents in Search and Match with two sub-user id's together    
  • Changes in oneMatch Method  - Based Selection of JD or Resume
8 January 2021

Latest Updates 

  • Fetching of Jobs Periods for the French and Polish Languages Improved
  • JobProfile Values Refined for the Spanish and Polish Resumes
  • Extraction Name of the Employer Name for the Spanish Language is Improved
  • Address Extraction for the German Language Improved
  • The Period Like 2017 April-2017 October for Education Fixed.
24 December 2020

Latest Updates

  • Employer Extraction for the English Language Improved.
  • Contact Name Extraction Fixed if it is Extracted from Mid of Text for Multilanguage.
  • City Name Extraction improved if Mentioned in the Top of JDs with Company Name for Multilanguage JD.
  • Block Extraction (i.e. About Organization and Responsibility) for the French Language Improved. 
23 December 2020

Latest Updates

  • Job Period Extraction for the Spanish Resumes Improved
  • Extraction of Addresses for French Resumes Improved
  • Job Profile Extraction for the Portuguese Language Improved
10 December 2020

Latest Updates

  • Added Age Limit in Version 3.1
  • Contact Name Extraction Improved
  • Company Name Extraction for German JD Improved
  • Responsibility Block Extraction for Multilanguage JD Improved
11 December 2020

Latest Updates

  • Job period Extraction for the Dutch Language improved. For Example: (februari 2015 tot 1 juli 2016 and augustus 2014 t/m januari 2015).
  • Jobprofile Extraction for Portuguese Resumes Improved.
  • Start/End Issue Fixed for Date Patterns Defined like 2016 Feb to June 2016.
  • Reconversion of PDF Fixed.
  • Improvement made in Dutch Address and Name
  • Reconversion of Scanned PDF Resumes Fixed.

  • Implementation Made on New Methods Skill & JobProfile of AutoComplete

  • JobPeriod Extraction for the Pattern Like Aug 2020 up to November 2020 Improved.

  • Issuing Date Extraction for the Certifications Improved. 

7 December 2020

                        Latest Updates

  • Implementation Done for New Methods matchWithId (Match Document with Specified Ids) & oneMatch (One to One Match Document), e.g., match Resume or CV with JD
  • Improvement made in Match Method

 

27 Novemeber 2020

Latest Updates 

  • Job profile and employer name extraction for the Italian and German languages improved.
  • Improvement made in the extraction of nationality and marital status for the German language.
  • Address extraction for the Spanish language improved
  • URL’s of all the social websites will remain the same. Previously, the URL type was the value extracted from the resume itself if mentioned.

     E.g. [LinkedIn: https://www.linkedin.com/Johndeo/] type =  LinkedIn and now it's constant, URL type =  "Linkedin".

     

24 November 2020

Latest Updates 

  • Improvement Made in Language Extraction for Multilanguage JD
  • Extraction for 'About Organization' Improved 

18 November 2020

Latest Updates 

  • Employer/Job Profile Extraction for Italian and Portuguese Languages Improved
  • Portuguese Employer Location Extraction Improved
  • Job Period Extraction for the Portuguese Language Improved
  • The Hebrew Language is now supported with the 8.0.0 version (previously, it was with the 7.0.0 version).
30 October 2020

Latest Updates

  • Improvement made in the Italian job profile and employer name extraction
  • Block extraction improved, for example, if tab comes in between the keywords like Professional \t Experience, Professional \t Summary, etc.
  • Unwanted characters like -,:, A coming at the beginning of job profiles are filtered in profile names
  • Annotations are added in the detail resume if mentioned
  • Name and language extraction for Polish resumes improved
20 October 2020

Latest Updates

  • Improvement made in experience block extraction
  • Job profile and job period extraction for the French language improved
  • Job period extraction improved if written as \tJune 2011 - September 2014
  • Subject overlapping in the education field is improved. For example: if a candidate has two subjects in its resume, ‘Digital Marketing' and 'Marketing’, only Digital Marketing was extracted, but with new updates, both subjects will be extracted.
06 October 2020

Latest Updates

  • Improved Chinese Education Extraction for Degree/University
14 September 2020

Latest Updates

  • Issue fixed for education dates like 2010.06-2011.07 and 2003-07 for the start and end date.

  • Improvement made in the keywords by ignoring the thesis names for multilingual (Like Master Thesis)

  • Subdomain for website URL included.

  • Improvement made in Chinese name and education

  • Job period extraction improved if defined in multiline

  • Advancement made in nobility particles for name extraction

  • Accurate allocation for Major/minor and subject in education

31 August 2020

Latest Updates

  • 8-digit phone number format added for Gulf countries
  • Improvement made in Spanish personal information
  • Improvement did in job period extraction having a tab in between like 1998 \t 2000
  • Spanish month patterns added to improve the period extraction in Spanish resumes
21 August 2020
Latest Updates 
  • Extraction for German Language Employer/Profiles Improved.
  • Error Logging Management Improved.
  • Job Period Extraction for The Spanish Language Improved.
  • The extraction of dates improved. Now, dates like 9.96-04.98 can easily be fetched.
  • Extraction of multiple profiles started given with the keywords as roles handled, roles played, etc.

  • Noise in employer name extraction was removed (For Example, ‘Last company HCL’ or ‘Working with IBM’).

  • Improvement was made in the extraction of data by ignoring the wrong date tagging when coming like ‘Exchange 2010/2013.’

4 August 2020

Latest Updates 

  • Organization Name Extraction from Resumes Improved
  • Chinese Job Period Extraction Improved
  • Employer Location Extraction Improved
  • Employer Profile Mapping Improved
  • Fixed German Executive and Management Summary
  • Improved Employer-Profile Extraction If Defined Without a Date Range Like April 2014, June 2019, etc.

 

16 July 2020

Latest Updates

  • Accuracy of Spanish Resumes Improved.
  • Total Experience in the Year/Month Extraction Improved.
  • Chinese and Spanish Job Period Extraction Improved.
3 July 2020

Latest Updates 

  • LinkedIn Resumes Accuracy Improved
  • Europass Resumes Accuracy Improved
  • Education and Experience Extraction for Spanish and Portuguese Language Resumes Improved.
24 June 2020

Latest Updates 

  • Bug Fixing Done for the End Dates if given as “May June 2019”.
  • Job Period Extraction Bug Fixed.
  • Education Extraction Improved for
    French and German Language.
  • Skill Keywords Extraction Improved for Polish and Spanish Language.
9 June 2020

Latest Updates 

  • Improvement Made in Employer Name and Location Extraction

  • Job Profile Extraction Improved

  • Accuracy of PDF Resume Files Improved

  • French Job Period Extraction Improved

  • Improvement Made in Education and Experience Period for Spanish

  • Spanish Employer Name Extraction Improved

2 June 2020

Latest Updates

  • Improvement Made in Polish Resume Education Extraction

  • Improvement did in Spanish Resume for PDF Conversion

  • Personal Information Improved for Spanish Resume

  • Spanish and Polish Language Jobperiods Extraction Improved

  • Job Profile Extraction Improved for Polish and Spanish Language

  • Employername Extraction Improved for the Spanish Language

20 May 2020

Latest Updates

  • Deep Learning Models Introduced for the Polish Language for Improved Entities Extractions.
  • Polish Job Period Extraction Improved.
  • Improved Performance Optimization
  • Personal Information Improvement made for the Polish Language.
4 May 2020

Latest Updates

  • Improvement made in Job Period Extraction for Polish Resumes.
  • Improvement made in Extracting Job Profiles if Written in the Same Line i.e Programmer 2014-2016, Sr. Programmer 2016-2018.
  • Improvement made in Employer Name, Job Profile Extraction for Polish Resumes.
22 Apr 2020

                       Latest Updates

  • Job Profile and Employer Extraction for French, Italian, Turkish Resumes improved.
  • Job Period Extraction improved for French, Italian, Turkish Resumes.
  • Europass Multilingual Parsing Improved.
  • Personal Information like Name and Address for Multilingual Resumes improved.
 
 
 
15 Apr 2020

Latest Updates

  • Improvement made in LinkedIn Resume Parsing. 
  • Improvement made in Normalize Degree.
  • Improvement made in Degree's Specializations.
18 Mar 2020
Latest Updates
  • Improvement made in Multi-line candidate name extraction.
  • Improvement made in German and French employers and job profile extraction.
9 Mar 2020

Latest Updates

  • Multilingual LinkedIn Resume Parsing Improved.
  • Job Period Extraction improved for Russian Resumes.
21 Feb 2020

Latest Updates

  • Added new keywords for dates in french Aujourd’hui for fetching dates like "Nov 2016. – Aujourd’hui".
  • Added new splitters like "à fin, À" for dates like Juin 2018 à fin Juillet 2019, AVRIL 2018 À JUIN 2018
  • Experience description filed improved in the segregation of experience for LinkedIn resumes
  • French Degree date improvement made for e.g Septembre 2017 À November 2019
  • Improvement made in Linkedin format name extraction.
  •  Phone format setting for 9 digit phone improved w.r.t resume language e.g. when the location is not defined in France resume and phone no. is of 9 digit phone number is considered as of France.
  • Improvement made in Preserve brackets() in the final JSON output. e.g.   Ass.Engineer (Engineering Department)
  • Improvement made for address city extraction when city name with - e.g. city name like Noisy-le-Grand
10 Feb 2020
Latest Updates
  • Improvement made in German Language Dates Extraction
  • Improvement made in For Personal Information for Optional Fields
  • Improvement made in For Special Character (Breaking the Language JSON)
04 Feb 2020
Latest Updates 
  • Improvement made in Parallel Format PDF Text conversion.
  • Improvement made in Degree date format enhanced for dates like '04-16-09 or 05-11-2007'.
  • Improvement made in Name Extraction from new formats eg. name like MS Manoj Singh.
  • Improvement made in Experience accuracy.
  •  Improvement made in Education accuracy.

  • Improvement made in Bugfixing in normalize period

28 Jan 2020

Latest Updates 

  • Improvement made in Education date fixing for Portuguese resume.
  • Improvement made in Adding new splitters for dates i.e (á,até)for Portuguese resume.
  • Improvement made in Phone formatting if the phone is written with ISD code. eg (48) 98154-4522.
  • Improvement made in Special char([&:;\\(\\)']) issue fixing in Job Description.
  • Improvement made in UAE phone formate fixed. 
 
11 Dec 2019

Latest Updates 

  • Improvement made in fetching city, state, country if defined in multiline in the experience like Engineer September 2011 - September 2014
    Hyderabad
    India
  • Improvement made in fetching country name if mentioned without city and state name like HAL Edgewood Technologies
    Reliability Engineer November 2008 - May 2010
    India
09 Nov 2019

Latest Updates 

  • Footer data extraction from pdf files improved.
  • Improvement made in Passport number extraction.
  • Linkedin's new format name extraction improved.
  • Phone number and formatted phone number extraction improved
  • Education data extraction improved.
  • Nested employer extraction improved e.g. if candidate defined employer like :

    Brother International Corporation, Bridgewater, NJ
    Channel Manager (Central America and Caribbean)        June 2017 – Present
    Distribution Sales Account Representative                     April 2016 - May 2017
    Key Account Representative                                            July 2015 - March 2016

    RChilli will return it like :

    1 Employer - Brother International Corporation
        Job Title - Channel Manager (Central America and Caribbean)
        Job period- June 2017 – Present
        Job Location - Bridgewater, NJ


    2 Employer - Brother International Corporation
        Job Title - Distribution Sales Account Representative
        Job period- April 2016 - May 2017
        Job Location - Bridgewater, NJ


    3  Employer - Brother International Corporation
        Job Title - Key Account Representative
        Job period- July 2015 - March 2016
        Job Location - Bridgewater, NJ

    Another Example: -

HANESBRANDS, INC., Winston Salem, NC          2007 - 2019
Senior Manager, eCommerce                             2012 –2019
Search Engine Marketing Manager                     2007 – 2011


RChilli will return it like :


1   Employer - HANESBRANDS, INC.
    Job Title - Senior Manager, eCommerce
    Job period- 2012 –2019
   Job location- Winston Salem, NC
   

2  Employer - HANESBRANDS, INC.
    Job Title - Search Engine Marketing Manager
    Job period- 2007 – 2011
   Job location- Winston Salem, NC
21 Oct 2019

Latest Updates  

  • Fixing of slashes (//) coming at the end of job profiles.
  • Start extracting job period if written like April 2010-September in one line and remaining period 2014 in the next line.
20 Sep 2019

Latest Updates 

  • Improvement made on Summary block extraction.
  • Improvement made in the Formatted phone number.
11 Sep 2019

Latest Updates 

  • Email extraction improvement is done for emails having a symbol (+) like dev+rchilli@gmail.com
  •  Passport number extraction improved.
19 Aug 2019

Latest Updates  

  • Projects mapping is defined without a period with employer defined without job period
  • Passport Number fixing
26 July 2019

Latest Updates 

  • Considering job periods fixing is done even if candidates write them in reverse order, i.e. (Aug 2018 -Mar 2014).
  • Address fixing is done for LinkedIn new format resumes.
19 July 2019

Latest Updates 

  • Years will be written as "April 2010-Aug" and 2011 in the next line.
  • Skill keywords added for oil and petroleum industries for category/subcategory search.
  • Tagging issue fixed in PDF pages.
15 July 2019

Latest Updates 

  • Issue fixed for month extraction if candidate defines only the year in a case where end year is the same as the current year (i.e., 2010-2019 ) here end year '2019' same as the present year '2019.'
  • PDF issue fixed for multiple '&'.
  • Tagging issue fixed for two simultaneous institutes.
04 July 2019

Latest Updates 

  • Improvement made in Turkish address extraction.
  • Improvement has done in Turkish personal information extraction improvement.
  • Pdf conversion improvement for personal information written in the column
  • Started parsing job periods like 2016-6/2017
20 June 2019

Latest Updates 

  • Emails and other personal information issues improved for document conversion.
  • Degree/Subject extraction optimization done.
  • The location issue fixed if the employer contains a location name.

 

05 June 2019

Latest Updates 

  • Employer City, State extraction improved when written without the comma.
  • Ignoring duplicate subjects from degree extraction.
  • Improvement made for incomplete subject and degree extraction.
24 May 2019

Latest Updates 

  • Improved USA address city extraction.
  • Improved algorithm for Degree Name, University Name, Employer, Job profile extraction.
  • Improved country name extraction for the employer along with it's ISO Code.
  • Starts extraction job periods defined in mixed format e.g 24/2/2014 to December 2014
08 May 2019

Latest Updates 

  • Amendments made in a multilingual common word for name extraction.
  • Amendments have done to combine multiple section headings into one heading like (Experience and training etc.). 
  • Danish resume fixed for address and name.
  • PDF header issue fixed.
02 May 2019

Latest Updates 

  • Single-word organization name improved when given with location detection.
  • Singapore address extraction improved.
  • Improved Parallel pdf parsing.
  • Fixed Date pattern like (May-18 till).
24 April 2019

Latest Updates 

  • Address extraction improved for better performance.
  • Improved date fetching patterns when dates written with tabs.
  • Improvements made for XML breaking in the education section under version 6.0.
  • Improvement made to ignore a single subject return when a degree or institute name is not available.
16 April 2019

Latest Updates 

 

RCHILLI RESUME PARSER API

1. Amendments have done in API to fetch experience portion if it comes under the skill or education section while parsing the data.

Amendments have done for the scenarios wherein:- 
* Experience headers are not defined by the candidate in the CV.
* PDF resumes with parallel formats.

If candidates CV defines some sections (Experience, Education, Skill, etc.) 
on the left side and some sections on the right side. Earlier, the parser was not fetching experience accurately in such a scenario.
Now we have made our parser to fetch the same across the CV's

2. Amendment did in the database for employer city issues while parsing.
 
 
04 April 2019

Latest Updates 

 

RCHILLI RESUME PARSER API

  1. Total Experience in year field has been fixed, previously date patterns like '09-4-2007' or '09/4/2007' were not properly calculated. Now it's being calculated perfectly based on the example mentioned.
  2. Improvement in "LanguageKnown" field extraction from resume.
     
RCHILLI RESUME PARSER API
 
Updated the displaying of companies name having "&" in them e.g "L & T".
 
 
28 March 2019

Latest Updates 

 

RCHILLI RESUME PARSER API

1. We have started considering job periods which are not properly mentioned by the candidates in resume neither in ascending order nor in descending order i.e (2001-2004, 2007-2008, 2005-2006).
 
2. We have implemented a check to return the highest total experience after comparing total experience mentioned in an entire cv with the help of "Keywords" (e.g years of experience, Total experience of e.tc) and calculated from job periods calculation.
 
 

RCHILLI RESUME PARSER API

Periods overlapping issues fixed i.e if the candidate has defined periods like 2001-2004 and 2004-2006, for such cases now we have started calculating experiences completely from the start of 2001 to the end of 2004 and then from 2005 till 2006.

22 March 2019

Latest Updates 

RCHILLI RESUME PARSER API

Improved Date Pattern Recognition: 
We started picking up following date patterns in resumes:
 
1) MM-YYYY-dd - MM-dd-YYYY
2) MM/dd/YYYY - dd/MM/YYYY
 
We have also implemented a new algorithm to fetch a single year written in four digits like (2008, 2010, 1998, etc.) and ignore other 4 digits numbers which are not year actually in resume.
15 Feb 2019

Latest Updates 

 

RCHILLI RESUME PARSER API

  • City/State Optimization for the Employer and Performance Enhancement.
  •  Console Log Print Control from Config for Debug and Production.
  • Gap Period Correction did for Overlapped Periods.
  • Fields Accuracy Improved w.r.t Resume Fixing.
  • Performance Improved in Optimizing Regex and Queries.
  • Improved made in PDF Conversion, now we will have Fewer PDF Conversion Issues Encounter.
  

RCHILLI RESUME PARSER API

  • Experience Description Correction.
  • Correction made in Personal Information.
  • Passing year of Education Degree Corrected.
  • Employer Name, City/State Corrected.
  • Fixed Small Letters Tagging of the Company Name, Profiles having to work as, working with.
  • Pick Emails having Spacing with '@'
  • Change in percentage logic.
  • Fixed Conflict with the dates.


11 Jan 2019

Latest Updates 

 

RCHILLI RESUME PARSER API

  • Case-sensitivity issue fixed for University, Institute, Degree, and Employer.
  • Added cities/Places found in Singapore
  • Address Extraction Logic Implemented for Singapore Places.
  • Remove Job-Profile only when Adjoining with the Name.
  • Changes made in Parsing Logs
  • Formatted Date for Education Changed.
  • Block Extraction made without a Section Heading.
  • Multi-Language Date Format.
  • Multiline Name Extraction Using Common Last Names.
  • Employer State Extraction.
 

RCHILLI RESUME PARSER API

  • Correction Made in UK Zip Code.
  • Phone Number Correction for French
  • HTML File Parsing Issue Fixed when Nobody Tag in HTML
  • Address Fixed for USA States when only City and State is Written.
  • Education Period Fixed.
  • Academy Extraction Issue Fixed.

 
22 Nov 2018

Latest Updates 

RCHILLI RESUME PARSER API

Enhanced the algorithm to extract Time period in Education Section.

 

RCHILLI RESUME PARSER API

Linked the Date Format(global setting) with Education section, 
so that customer requested date format for StartDate and EndDate of candidate qualification is parsed.

 

12 Nov 2018

Latest Updates 

RCHILLI RESUME PARSER API

 Personal Info:

The Algorithm Updation has done to Fetch Address from LinkedIn Resume Format.

 Experience Section:

The algorithm changed to Ignore the City/State Name before Employer Name.

 
02 NOV 2018

Latest Updates 

RCHILLI RESUME PARSER API

Updated Name parsing algorithm for doc type of resume:

Changes made in technique to extract the name from a resume(reparse in PDF format).

Accuracy Improved in Experience Block:

Change in the algorithm to Parse Employer Name and Job Profile Experience Block with Special Characters(i.e. @)

RCHILLI RESUME PARSER API

Updated Name Parsing Algorithm for LinkedIn Format Resume:

Now you will get Candidate's Name Parsed from Resumes in the LinkedIn Format.

24 OCT 2018

Latest Updates 

RCHILLI RESUME PARSER API

Updated Date Format for Job period:

Now in Date Format including the keyword 'since', e.g. since Feb 1996 - Jan 2002, we'll pick end date as well.

Addition in Job Profile Logic:

Now if multiple job profiles are mentioned together they'll be parsed together under one experience.

Changes in Education section algo:

Changes made in exception handling of issues and fetching of data from education.

18 OCT 2018

Latest Updates 

RCHILLI RESUME PARSER API

Experience Section Update:

Our expert team has enhanced the login to fetch:

  • Experience Summary, Skills from Experience Block.
  • Employer Name, Job Profile from Jumbled Up Work Experience with only One Job Period.

Addition in the Job Period formats:

Now you can Fetch JobPeriods, mentioned at the beginning of Experience Block, without Range like March 2004, 02/2014.

For Instance: Project Manager, RChilli Inc., March 2010

Employer Name Changes:

We proudly Announce Addition in the Formats of Names Parsed for Organization Name,

i.e. the First Letter of Name is Small followed by Capital Letter and so on.

For Instance: iReality

03 OCT 2018

Latest Updates 

RCHILLI JD PARSER API

  • Improvement made in About Organization and Responsibility
  • Now our Parser Discards 'About Organization' Section for Skill Extraction

RCHILLI RESUME PARSER API


Qualification Section :

  • Updated the Algorithm to Extract the Candidate's Education[Degree in Subject]
  • Updated the Fetching of Education Degree with Location
  • Improved the Process to Fetch Country Details
  • Upgraded our Parser for the Chinese Language
  • Changes in the Parser for Extraction of Address and Website from English-like Resumes

NEW FEATURE

RCHILLI JD PARSER API

New Feature for Limited Users: Bulk Parsing of JDs and Normalization of Output.

 

RCHILLI JD PARSER API

Updated the Parser Algorithm for our Valuable Customers.


RCHILLI RESUME PARSER API

Updated the Parsing Logic with Special Characters.

Facet Resume Parsing Updated for our Valuable customer.

Updation of API for Escape Character and Candidate Image Extension.

04 SEPT 2018

Latest Updates 

RCHILLI RESUME PARSER API

Updated Experience Section: Updation made in the location extraction as listed in the resume.

 

NEW FEATURE

RCHILLI RESUME PARSER API

Added New Response(output) Parameter: Now we Extract CustomId for our Valuable Customers [Version: 6.0.2.1002]

The Recent Addition of Feature: Extract Address Location from Specific Resumes like LinkedIn Resume.
2nd November 2020

Latest Updates 

  • Deep learning new trained model implemented in JD parser
13th October, 2020
Latest Updates
  • Improvement in Degree and AboutOrganization Extraction for English JD
  • Optimization and Improvement inaccuracy
  • Improvement in Organization extraction for Multilanguage JD
31st August 2020
Latest Updates
  • Improvement in language extraction for Polish JD
  • Improvement in experience extraction for Italian JD
20th August 2020
Latest Updates 
  • Improvement for the Spanish JD
  • Improvement for Minimum and Maximum Experience for French JD
  • Improvement for Language and Min-Max Year Experience for German JD
8th August 2020

Latest Updates 

  • New version 3.1 added
20 October, 2020
Latest Updates
  • Implementation Done for Multi-Language like Spanish, German, French, Italian, and Polish
  • Implementation Done for Partial Match
  • Implementation of Custom Value Done
 
13 March 2020
Latest Updates 
  • Implementation of Deduplication
 
13 October, 2020

Latest Updates

  • Optimizing Job Profiles with Prefix e.g. Sen. Sr. Senior, Sr, Junior, Jr. or etc
  • Unwanted Characters like -,.,:- Coming at the Beginning of Job Profiles are Filtered in Job Profile Names
20 August, 2020

Latest Updates

  • Implemented Multi-Language e.g. Spanish, French, German, Polish, Italian and etc.
  • Improve Response Time for Multi-Language.