A MODEL FOR AUTOMATIC RESUME SUMMARIZATION

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Recruitment is a primary method of employing candidates for a job position and is a prime process of any organization. While this method is still the major process, it still lacks speed and accuracy of candidate choice due to the bulk and piles of resumes which are submitted for any job position. Consequently, a large number of resumes are either ignored or misplaced and only a fraction of them gets noticed. This research is aimed at developing a model to summarize the resumes by extracting important details which are essential to the recruiter and lists them in a file. The paper entails the details of the model for the summarization process and compare it with the previous methodologies. The comparison of the proposed methodology with the previous methodologies indicates the differences in the design and percentage improvement in the performance of the summarization process.

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