Journal of Computer, Internet and Network Security ISSN: 2457-0176 (Online)

Authors: Akshitha Shetty P, Sumana, Sushmitha K Shetty, Ujwala B M, Sadhana.B

Abstract: This paper is focused on data extraction. Nowadays there is an increasing trend in the usage of computers for storing documents as a result of it substantial volume of data is stored in the computers in the form of documents. The documents can be of any form such as structured documents, semi-structured documents and unstructured documents. Retrieving useful information from huge volume of documents is very tedious task. Text mining is an inspiring research area as it tries to discover knowledge from unstructured text. This paper gives an overview of concepts, applications, issues and tools used for text mining. In the last decades explosion of information and communication technologies has led to a whole new scenario concerning people’s accessibility to new job opportunities and companies’ options for employing the right person for the right job. In this work, we present a set of techniques that makes the whole recruitment process more effective. We have implemented a system that models the candidate’s CVs in a Structured Data. Finally, it presents the results to the recruiter based on their criteria. In this case today’s technology is used which basically helps the recruiter to get only the required resumes from the huge slot. The aim is to obtain a CVs from bulk of the CV pool and to extract the min data on particular user defined condition.