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Based on the job description database, sets up the job dictionary and use the concept extraction method to make the data structured so that could help the students to identify their technical skills will match in which location, industry, position, role etc..

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manjunagarajIESEG/Entity-Extraction-Text-Data-NLP

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Entity-Extraction-Text-Data-NLP

Link To Shiny App https://manju.shinyapps.io/shinyapp/

Link To Markdown http://rpubs.com/dkewon/group1

The aim of the project was to do the following:

  1. convert the unstructured text data (JOB DESCRIPTIONS) to structured format and derive the insights and visualisation for the same.
  2. Import the raw text data consits of more than 2000 job descriptions
  3. Clean the Raw data using Pre-processing steps with Text Mining package in R
  4. Use Dictionary Based approach to extract the keywords from the job description.

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Based on the job description database, sets up the job dictionary and use the concept extraction method to make the data structured so that could help the students to identify their technical skills will match in which location, industry, position, role etc..

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