Qualitative Evaluation of Resumes with Integrated Personal Evaluation from Facebook Interactions |
Author(s): |
| RANI KATAGALL , KLS GIT BELGAUM; RAGHAVENDRA KATAGALL, VCET PUTTUR; SHAILA PATIL, VCET PUTTUR |
Keywords: |
| Big Data, Concept Extraction, Qualitative Evaluation, Text Analytics, Resume Parsing, Proficiency Level |
Abstract |
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Big data is a collection of large datasets with the key characteristics of volume, velocity and variety. In the recruitment domain job seekers post their resumes on different websites and job providers float job descriptions. This paper proposes an approach for recruiters to extract the relevant information from resumes and analyze it based on the technical skills and also analyze the Facebook profile to evaluate the personal skills of the candidate. This helps the recruiters to find suitable candidates for a particular job and make more informed decisions. The attitude analysis is done on the proficiency level of the messages and networking with people. After receiving the scores from attitude analysis, reporting will rank the resumes according to the scores. |
Other Details |
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Paper ID: IJSRDV4I31225 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 1324-1326 |
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