• Vipin Kumar
• Vikram Nath
• Heena Shaikh
• Payal Piwalatkar
• Sneha T. Shinde

Automated Resume Extraction and Candidate Selection System is a product which can be best suited for any organization’s recruitment process. The system will be robust enough which will automatically extract the resume content and store it in a structure form within the Database. Classification algorithm (Decision tree) will be run on the profiles to identify profile Categories or classes. Even the employer can suppose to specify his criteria and also decide the portentous level. As the internet is growing rapidly, there is huge amount of electronic text that is increasing rapidly. This brings the favor of reaching the information sources in a cheap and quick way. Keywords are handy tools as they give the shortest summary of any document. But they are rarely composed in the texts. There are proposed methods for automated keyword extraction. This paper also specifies such a method, which identifies the keywords with their frequencies and positions in the training set. It uses decision tree algorithm with supervised learning.

Clustering, Classification, Data Mining, Data Preprocessing, Decision Tree.

"Resume Extraction And Candidate Recruitment System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.721-730, June-2019, Available :http://www.jetir.org/papers/JETIR1906248.pdf

"Resume Extraction And Candidate Recruitment System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp721-730, June-2019, Available at : http://www.jetir.org/papers/JETIR1906248.pdf