Analyze Job Descriptions

NOTE: PLEASE ONLY BID IF YOU HAVE SIGNIFICANT EXPERIENCE IN THE FIELD OF NATURAL LANGUAGE AND MACHINE LEANING Dear Freelancer Community, We need someone to help us develop automatic analysis of job descriptions in order to extract: - Language identification (i.e which language is the text?) - Main Cateogry (e.g "Finance". Will be selected from a list of industries) - Sub Category (e.g "Compliance". Will be selected from a list of sub-categories) - Location (i.e where is job located? If stated in the description) - Education / Experience required - Skill requirements (tags based on job description) See example here (original text is at the bottom of the page) Username: morsi Password: morsi 1. [login to view URL] 2. [login to view URL] Software will be integrated in our job board, where we daily get thousands of new jobs. VERY important that algorithm evolves using training data. Whenever a job is "manually" categorized or corrected, this correction should be sent as training data. I suggest you build it based on the NLTK (Python) [login to view URL]