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This application parses software developer job ads and determines, for each technical skill keyword (e.g. Python, Java, C#, Javascript, etc) what other skills are most likely to go with it (e.g. for Python it would be Django, Flask, etc.) So when one is preparing for a software development interview, one could know what other areas they need to study to answer the most likely interview questions.

Python 85.02% HTML 2.76% JavaScript 11.92% CSS 0.29%

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cherietabb avatar elze avatar shindhu avatar

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skillclusters's Issues

Parser needs to be able to update existing database, not just create a new one

The parser needs to be able to take new job ads from the directory specified in the IMPORT_FILE_PATH in import_settings.cfg, parse them, and update corresponding rows in the database. When it encounters a skill_term that's already in the skill_post_counters table, it needs to update number_of_postings for that skill_term. And for each secondary term it needs to update the number_of_times field in the corresponding row in the skill_pairs table.

Improve parsing: make the parser recognize synonyms

Make the parser recognize that some skill keywords are synonyms of others: e.g. SVN is the same as Subversion, MSSQL is the same as SQL Server.

So far we have identified these synonyms. We can create a Python dict object -- a synonyms dictionary -- in the parser, and for each skill keyword (primary or secondary) we can check whether it is a key in this dictionary:

MS SQL -> SQL Server
MSSQL -> SQL Server
NodeJS -> Node
RESTful -> REST
SVN -> Subversion
TFS -> Team Foundation Server

(Similarly to NodeJS, we should look for alternative spellings of other Javascript framework names: e.g. AngularJS -> Angular, etc.)

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