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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.
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Improved job snippets modal, added ability to view job ads from which the snippets were taken
e5ceff3View on GitHubI must have updated Readme file online. Merge branch 'master' of https://github.com/elze/SkillClusters
de84edfView on GitHubImproved parsing of job ads; added anonymization of the company names so that companies and products would be mostly unidentifiable in job ads
b636aa4View on GitHubChanged the URL to where this application is deployed.
6c0d250View on GitHubRemoving HTML tags from the job descriptions; major refactoring of the import script
f68792aView on GitHubFixed the secondary skill ng-repeat to correctly determine box sizes and ratios; added more skill terms
c09a9d1View on GitHubWorking on showing job snippets in which each skill pair appears
83e1436View on GitHubMade it recognize the import file directory tree correctly.
d623dd7View on GitHubFixed the parsing bug that caused ratios of secondary to primary terms to be greater than 1; added pagination to the web app.
c217ac6View on GitHubAdded TODO comments how to implement code that would parse new files and add the results to the existing tables in the database
1e15442View on GitHubMade it easier for a new person to get started running the app
6d3f3e1View on GitHubMade it easier for a new person to get started running the app
f3ca17fView on GitHub