Latest Updates

The Thai Language has been Improved in the Resume Parser.

Latest Updates

• The Extraction of DegreeName (if Only degree Abbreviation is mentioned) is now Improved.
• The Extraction of Aggregate type is now Improved.

Latest Updates

• Improvement in the Mapping of Employer with jobprofile (In some cases, employer name is extracted from jobdescription of upper employer).
• The Extraction of Certificate title & Jobperiod is Improved.
• The Extraction of Employer, Jobprofile, and Institute Name from AI is now Improved.
• The Extraction of StreetAddress (Extra detail parsed) is now Improved.

Latest Updates

• The Extraction of Education detail and block (After conversion, education heading extract in diff block or heading not extract) is Improved.
• The Extraction of the Candidate Name (if mentioned in a small case and after conversion, Candidate name extract in mid of detail resume) is Improved.
  

Latest Updates

• The Extraction of Email (if the email is mentioned in multiline) is now Improved.
• The Extraction of Correct detail of the Resume(After conversion, text extract withoutspace) is now Improved.

Latest Updates

• The Extraction of the Candidate Name is Improved.
• The Extraction of BlockCutting is now Improved.

Latest Updates

• The Extraction of TotalYear of Experience is Improved.
• The Thai Language is now Added to the Resume Parser.
• The Hebrew Language is Partially Added to the Resume Parser.
• The State and Country are Extracted if the Same City Exists in Different Places.

Latest Updates

• The Extraction of Cover Letters in Multilanguage is Improved.
• The Extraction of Phone Numbers, if mentioned with +ISD, is Improved.

Latest Updates

• The Extraction of the Multiline Job Period is now Improved.
• The Extraction of Multiline email is now Improved.
• The Extraction of Multiline Institute is now Improved.

Latest Updates

• The Extraction of Names and Job Periods in the Swedish Language is Improved.
• The Extraction of Education Blocks, if mentioned without a Heading, is Improved.

• The Extraction of Certification is now Improved.
• The Extraction of Names mentioned with "-" in German is now Improved.

• The Extraction of Street Addresses for all Languages is now Improved.
• The Extraction of Date of Birth is now Improved.

Latest Updates

The Extraction of Name is now Improved (if deg and certification detail mentioned with name) (Name, Deg, Certification)

Latest Updates

• The Extraction of the Job Period Improved if the Period is Mentioned without Space (From 2019Jan - 2021 Feb).
• Implementation of Dynamic Page Limit Setting in Resume parser. 
• The Extraction of the Multiline Website is now Improved (Website mentioned in Multiline)

Latest Updates

• The Extraction of the Certification Title is now Improved.
• Enhanced Extraction of Job Profile if multiple profiles are mentioned in a single line.

Latest Updates

• The Extraction of Period is now Improved. (MonthName Year. MonthName Year, 1st of June, 2006 - 30th of April, 2010)
• The Extraction of Project detail is Improved.
• The Extraction of Language Known Improved.
• The Extraction of Title Names in the Arabic Language is Improved.
• The Extraction of 2 Character Job Profile like (RN, CA), etc., is now Improved.

Latest Updates

The Extraction of New Aggregate types like Class, WAM, QPI, and HONORS is now Improved.

Latest Updates

• The Extraction of Language Known Improved.
• The Extraction of PassportDetail Improved.

Latest Updates

• There has been an improvement in Extracting the Present date mentioned in the Education Experience Block.
• The Extraction of Aggregate Value is now Improved.

Latest Updates

• The Extraction of the Candidate Name is now Improved.
• Improvements in Extracting Experience block cuts from Achievements, Internships, etc.

Latest Updates

There has been an improvement in Extracting Employer Junk from the Job Profile.

• The Extraction of the Institute Name Improved.
• The Extraction of Email addresses, if mentioned in multiline, is now Improved.
• The Extraction of a Single Job Period, if mentioned in the New Line, is now Improved.
• The Extraction of StreetAddress Improved.
  

Latest Updates

The Extraction of the Employer City State in the English Language is now Improved.

Latest Updates

The Extraction of Street Address Improved.

Latest Updates

The Extraction of Street Address Improved.

Latest Updates

• The Extraction of UK Phone no. is now Improved.
• The Extraction of Junk Period Improved if mentioned mid-line and with % Symbol.
  

• The Extraction of Employers Name (Candidate Name extracted as an employer) Improved.
• The Extraction of Multiline Periods in the Education Block (Period mentioned in multiline) Improved.
• The Extraction of Personal Detail (IF personal block is mentioned under reference block, then parser extracts personal detail as reference) Improved.
• The Extraction of Experience Blocks (if the experience is not mentioned, then the education block is extracted in the experience block if the present period is mentioned in the education block).
• The Extraction of Period, if mentioned with a Date Heading like startdate, enddate is now Improved.
• The Extraction of StreetAddress is now Improved.
  

Latest Updates

• The Extraction of Degrees and Normalized Degrees Improved.
• The Extraction of a Single Period (sometimes a single junk period mentioned at the end of the line with a dot) is now Improved.
• The Extraction of Zip Code (zip code extracted in the phone number) is now Improved.
  

• The Extraction of Employer and Job Profile Improved.
• The Extraction of Single Period is now Improved.
  

Latest Updates

Improvement in the Extraction of Institute Board Name if not accompanied by a Board keyword. E.g.: - (In tabular format, board and degree mentioned in the same like s.s.c, H.s.sc is also a degree and a board).

• Improvement made in the Institute name.
• Extraction of Aggregate Value (GPAX, CAT, WAT) type has Improved.
• Improvement in the Extraction of Institute in English (junk data extracted in table format education), E.g. - (Education School, Universität Scholar).
• Extraction of Certification has been Improved.
  

• The Extraction of Url is now Improved.
• The Extraction of Address is now Improved.
• The Extraction of the Multiline period is now Improved.
• The Extraction of Name, Address, and personal detail in the Korean Language is Improved.
• The Extraction of Education Segregation in the Korean Language Improved.
• The Extraction of Experience Segregation in the Korean Language Improved.
• The Email address Extraction, if mentioned in multiline (English Language), Improved.
• The Extraction of the Multiline period for Aal language is now Improved, e.g., 2019 - RChilli, Software Developer 2020.
• The Extraction of the city, if the city is also a Country, is now Improved, e.g., Albania is also a city and country.
  

• The Extraction of Street addresses in the Russian language is now Improved.
• The Extraction of the Present period, if mentioned in multiline in the Russian Language, is now Improved.
  

• For Romanian Language Resumes, Parsing is now Available.
• The Extraction of Aggregate Type (i.e. C.P.I Aggregate) is now Improved.
  

Latest Updates

• The Extraction of the Candidate Name is now Improved.
• The Extraction of the Single Job Period in the Experience Section is now Improved.

Latest Updates

• Enhancements made in the Extraction of the present Period for Spanish and Polish Language.
• Enhancements made in the Extraction of Current Employer and Job Profile.
• Parsing is now available for the Swedish Language Resume.

Latest Updates

• Enhancements made in the Extraction of Job Period in Experience Block.
• The Extraction of the Candidate Email Address is now Fixed for the space in between the domain name (e.g. john@gma il.com).

Latest Updates

• The Extraction of Name in LinkedIn Resume is now Improved.
• The Extraction of Employer and Job Profiles in the Russian Language is now Improved.
• The Extraction of the Present Job Period (if mentioned in multiline) in the Russian Language is now Enhanced.
• The Extraction of the Total Year of Experience in the English Language is now Enhanced.

• The Extraction of Experience Block, if the block is mentioned without Heading in the Romanian Language, is now Improved.
• Enhancements made in the Extraction of Degree and Normalize degree.
• Enhancements were made in the Extraction of Education if mentioned in the tabular format.
• Resume parser version 8.1.0 implemented (for Employer Formatted Name, Job Profile Ontology)

• The Extraction of Employer or job profile in the Russian Language is now Improved.
• The Extraction of Invalid Period is Fixed.
• The Extraction of Aggregation in Education is Improved.
• The Extraction of Education Block, if mentioned without Section Heading, is now Improved.

Latest Updates

• The Extraction of Employer and Job profiles for the Romanian Language is now Improved.
• The Extraction of Period (if job period mentioned with start date, end date) in the English Language is now Improved.
• The Extraction of Job Period (e.g., YYYY Month - Month YYYY, YYYY hasta Month YYYY) is Improved.
• The Extraction of Education, Degree, and Education period in the Romanian Language is now Improved.
• The Extraction of Name In Linkedin Resume is Improved.

Latest Updates

• The Extraction of Personal Details for the Russian language is now Improved.
• The Extraction of Job profile and employer in all languages Improved.
• The Extraction of Period in the Dutch language is now improved.
• Improvement in the extraction of Blocks for the Dutch Language.
• The Extraction of Employer Name, job profile Name (If mentioned with Heading in the Dutch Language) is now Improved.
• The Extraction of the Job Profile for the Dutch Language is now Improved.
  

• Enhancements made in Extracting Candidate Address (e.g., New York City, New York).
• The Extraction of Job profiles is now Improved.
• Improvement in the Job Period in the Spanish language.
• The Extraction of Employer and job profile (if mentioned with Heading) in the Russian language is now improved.
• Improvement in the extraction of Institute Name ( if any city Name found in between Institute Name) in the Russian language.
• Improvements made in The Extraction of Candidate Name.
• The Extraction of Job Period (if mentioned in Multiline) for all languages is now Improved.
• The Extraction of the present Period in the Russian language is now Improved.

• Enhancements made in the Extraction of Job Periods for the Russian language.
• Improvements made in the Extraction of the Present period (mentioned in multiline).
• Improvements made in the Extraction of Education and Experience Blocks.

Latest Updates

• The Extraction of Job Periods (e.g., June 2018 up to date July 2020, 2016 tew 2018) Fixed.
  
• The Extraction of Blocks (for jumbled-up headings) Fixed.
  
• Enhancements made in the Extraction of Projects.

Latest Updates

For the Indonesian Language, the extraction of the following enhanced:

• The Institute/University Name
  
• The Employer Name

Latest Updates

• The Extraction of Personal Information Improved for the Arabic Language.
  
• The Extraction of Candidate Name and Job Period Improved for the Portuguese and Indonesian languages.
  
• The Extraction of Job profiles Improved for the Arabic Language.

• The Extraction of Job Profiles Improved.
• The Extraction of Candidate Name Improved for the English Language.
• The Extraction of Certification Start Date and End Date Improved.

• The Extraction of Job Description Field Improved.
• The Extraction of Job Periods Improved for the Spanish and Polish languages.
• The Extraction of Employer Improved for the Italian and English Language.
• The Extraction of Degree Names Improved.

• The Extraction of Institute and Sub-Institute Improved in Qualification.
• The Extraction of Start Date and End Date in Experience Improved for the Polish Language.
• The Extraction of Job Period Improved for the English Language.
• The Extraction of Address Improved for the German Language.
• The Extraction of Contact Numbers Improved.

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.

• 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.

• 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

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.
  

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.

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.

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.

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

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.

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.

• The Extraction of Languages (LanguageKnown) Improved.
  
  
• The Extraction of Job Periods for Experience Block Improved.
  
  
• The Extraction of Degrees Improved.

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.

                             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.

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)

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.

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.

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.

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.

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.

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.

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.

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.

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
  

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.

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
  

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

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 

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. 

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

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.

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.

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.

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

Latest Updates

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

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.

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

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. 

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".

   

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).