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Smart Recruitment System

Siddhi Khanvilkar1 , Suparna Shetty2 , Disha Solanki3 , Sarika Davare4

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 823-828, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.823828

Online published on Apr 30, 2019

Copyright © Siddhi Khanvilkar, Suparna Shetty, Disha Solanki, Sarika Davare . 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: Siddhi Khanvilkar, Suparna Shetty, Disha Solanki, Sarika Davare , “Smart Recruitment System,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.823-828, 2019.

MLA Style Citation: Siddhi Khanvilkar, Suparna Shetty, Disha Solanki, Sarika Davare "Smart Recruitment System." International Journal of Computer Sciences and Engineering 7.4 (2019): 823-828.

APA Style Citation: Siddhi Khanvilkar, Suparna Shetty, Disha Solanki, Sarika Davare , (2019). Smart Recruitment System. International Journal of Computer Sciences and Engineering, 7(4), 823-828.

BibTex Style Citation:
@article{Khanvilkar_2019,
author = {Siddhi Khanvilkar, Suparna Shetty, Disha Solanki, Sarika Davare },
title = {Smart Recruitment System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {823-828},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4124},
doi = {https://doi.org/10.26438/ijcse/v7i4.823828}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.823828}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4124
TI - Smart Recruitment System
T2 - International Journal of Computer Sciences and Engineering
AU - Siddhi Khanvilkar, Suparna Shetty, Disha Solanki, Sarika Davare
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 823-828
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

Nowadays a lot of organizations are in a constant lookout to simplify their hiring process so that they can scout the best talent in a minimum time frame. The proposed system tries to simplify the manual work by automating the entire hiring process. The system helps to clean, parse and classify the large amount of resumes, that the hiring managers’ receive on a daily basis, using SVM (support vector machine algorithm in python).The system would cover some repetitive manual procedures like the aptitude test using JavaScript and the audio HR interview using natural language processing and sentiment analysis. This would ensure that the HR managers would not have to ask the same questions repeatedly thus preventing them from losing good candidates due to lack of interest towards the end of the interview. The system also provides detailed analysis in the form of a bar graph which gives a score count of the analysed tone parameters on the basis of the audio interview provided by the candidate.

Key-Words / Index Term

Natural Language Processing, Support Vector Machine, Tone Analysis, Resume, Classification, Sentiment Analysis.

References

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