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Personality Evaluation and CV Analysis using Machine Learning Algorithm

Jayashree Rout1 , Sudhir Bagade2 , Pooja Yede3 , Nirmiti Patil4

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1852-1857, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.18521857

Online published on May 31, 2019

Copyright © Jayashree Rout, Sudhir Bagade, Pooja Yede , Nirmiti Patil . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Jayashree Rout, Sudhir Bagade, Pooja Yede , Nirmiti Patil, “Personality Evaluation and CV Analysis using Machine Learning Algorithm,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1852-1857, 2019.

MLA Style Citation: Jayashree Rout, Sudhir Bagade, Pooja Yede , Nirmiti Patil "Personality Evaluation and CV Analysis using Machine Learning Algorithm." International Journal of Computer Sciences and Engineering 7.5 (2019): 1852-1857.

APA Style Citation: Jayashree Rout, Sudhir Bagade, Pooja Yede , Nirmiti Patil, (2019). Personality Evaluation and CV Analysis using Machine Learning Algorithm. International Journal of Computer Sciences and Engineering, 7(5), 1852-1857.

BibTex Style Citation:
@article{Rout_2019,
author = {Jayashree Rout, Sudhir Bagade, Pooja Yede , Nirmiti Patil},
title = {Personality Evaluation and CV Analysis using Machine Learning Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1852-1857},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4494},
doi = {https://doi.org/10.26438/ijcse/v7i5.18521857}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.18521857}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4494
TI - Personality Evaluation and CV Analysis using Machine Learning Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - Jayashree Rout, Sudhir Bagade, Pooja Yede , Nirmiti Patil
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1852-1857
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Human personality has played a vital role in an individual`s life as well as in the development of an organization. One of the ways to judge human personality is by using standard questionnaires or by analyzing the Curriculum Vitae (CV). Traditionally, recruiters manually shortlist/filters a candidate’s CV as per their requirements. In this paper, we present a system that automates the eligibility check and aptitude evaluation of candidates in a recruitment process. To meet this need an online application is developed for the analysis of aptitude or personality test and candidate’s CV. The system analyzes professional eligibility based on the uploaded CV. The system employs a machine learning approach using TF-IDF Algorithm. The output of our system gives a decision for candidate recommendation. Further, the resulting scores help in evaluating the qualities in the candidates by analyzing the scores obtained in different areas. The graphical analysis of the performance of any candidate makes it easier to evaluate his/her personality and helpful in analyzing the CV properly. Thus, the system provides a helping hand for the recruitment process so that the candidate’s CV will be shortlisted and the fair decision will be made.

Key-Words / Index Term

Psychometric Analysis, Machine-learning, TF-IDF, Curriculum Vitae Analysis, Personality Evaluation

References

[1] FoDRA – Nikolaos D. Almalis George A. Tsihrintzis , Aggeliki D. Strati , “A New Content-Based Job Recommendation Algorithm for Job Seeking and Recruiting” , 2016.
[2] Data,Vishnu M Menon Computer Rahul Nath H A, “A Novel Approach to Evaluate and Rank Candidates in A Recruitment Process by Estimating Emotional Intelligence through Social Media”,May 2016.
[3] Manasi Ombhase, Prajakta Gogate, Tejas Patil
“Automated Personality Classification Using Data Mining Techniques” 10.13140/RG.2.2.35949.59363, 2017
[4] Vivian Lai, Kyong Jin Shim, Richard J. Oentaryo, Philips K. Prasetyo, Casey Vu Ee-Peng Lim, David Lo, “Career Mapper: An Automated Resume Evaluation Tool”, 2016.
[5] Janet E. Squires, Leslie Hayduk, Alison M. Hutchinson, Lisa ACranley, Mark Gierl, Greta G. Cummings, Peter G. Norton and Carole A Estabrooks, "A Protocol for Advanced Psychometric Assessment of Surveys", Nursing Research and Practice Volume 2013 (2013), Article ID 156782,20 December 2012.
[6] Automated CV Processing along with Psychometric Analysis in Job Recruiting Process Firoz Ahmed , Mehrin Anannya 2 , Tanvir Rahman 3 , Risala Tasin Khan4 Institute of Information Technology , May 2015.
[7] Mesurado, Belén & J. Mateo, Niño & Valencia, Marshall & Richaud, Maria, “Extraversion: Nature, Development and Implications to Psychological Health and Work Life”, (2014).
[8] M.Balabanovic and Y. Shoham, “Fab: Content-based, Collaborative Recommendation. Communications of the ACM,” vol. 40, no. 3, pp. 66-72, 1997.
[9] Ramezani, M., Bergman, L., Thompson, R., Burke, R. and Mobasher, B., “Selecting and applying recommendation technology”. In Proc. of International Workshop on Recommendation and Collaboration, in Conjunction with 2008 International ACM Conference on Intelligent User Interfaces. Canaria, Canary Islands, Spain, 2008.
[10] Badrul Sarwar, G. Karypis, J. Konstan, and J. Riedl, “Item-Based Collaborative Filtering Recommendation Algorithms,” Proceedings of the 10th International Conference of World Wide Web, pp. 285-295, 2001.
[11] Shereen Albitar, Sebastien Fournier, Bernald Espinasse, An effective tf/idf-based text-to-text semantic similarity measure for text, spinger, pp. 105-114, 2014.
[12] Stephen Robertson,"Understanding inverse document frequency: on theoretical arguments for IDF", Journal of Documentation, Vol. 60 Issue: 5, pp.503-520, 2004.
[13] R.S. Walse, G.D. Kurundkar, P. U. Bhalchandra, "A Review: Design and Development of Novel Techniques for Clustering and Classification of Data", International Journal of Scientific Research in Computer Science and Engineering, Vol.06, Issue.01, pp.19-22, 2018.
[14] Shahzad Qaiser,Ramsha Ali ,International Journal of Computer Applications (0975 – 8887), “Text Mining: Use of TF-IDF to Examine the Relevance of Words to Documents” Volume 181 – No.1, July 2018.
[15] Amit Palve, Rohini D.Sonawane, Amol D. Potgantwar, "Sentiment Analysis of Twitter Streaming Data for Recommendation using, Apache Spark", International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.3, pp.99-103, 2017.
[16] Huan Liu, Lei Yu, "Towards integrating feature selection algorithms for classification and clustering", IEEE Transaction on Knowledge and Data Engineering, vol. 17, no. 4, pp. 491-502, April 2005.