The focus of this work is to develop a technique/algorithm which can mine the details from text resumes and give the optimized solution on the basis of the information extracted from the text. The details extracted are: communication details such as email ids, contact numbers, address, location etc. ; academic details such as percentage in Matriculation, Intermediate, Graduation and Post Graduation; some personal details such as gender; and other details such as total experience in years. The details extracted from the text resumes are presented and processed for further mining operations. On these details, we have applied Genetic Algorithm to mine optimally the useful knowledge which can be of potential help to prospective employers.

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Text Mining Genetic Algorithm Knowledge Discovery