Sentiment Analysis for Company Recruitment Process Using Twitter Data

Authors

  • Prof. Vidya Raut  Computer Engineering Department, Cummins College of Engineering for women RTMNU, Nagpur, Maharashtra, India
  • Vanita Amdapure  Computer Engineering Department, Cummins College of Engineering for women RTMNU, Nagpur, Maharashtra, India
  • Sneha Bhoyar  Computer Engineering Department, Cummins College of Engineering for women RTMNU, Nagpur, Maharashtra, India
  • Sakshi Patil  Computer Engineering Department, Cummins College of Engineering for women RTMNU, Nagpur, Maharashtra, India
  • Ashlesha Ghayde  Computer Engineering Department, Cummins College of Engineering for women RTMNU, Nagpur, Maharashtra, India

Keywords:

Sentiment analysis, Machine Learning, Natural Language Processing, Python , API, Naïve Bayes Classifier Machine Learning Approach, Lexicon based Approach.

Abstract

In this system we provide a novel technique to recruit a right person for company by obtaining a behavioral analysis of person from the Twitter stream . We tend to propose a strategy to associate flexible sentiment analysis approach that analyzes twitter posts and extracts opinion and responses of various user

References

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International Journal of Scientific Research in Science and Technology

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Published

2020-02-17

Issue

Volume 5, Issue 6, January-February-2020

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. Vidya Raut, Vanita Amdapure, Sneha Bhoyar, Sakshi Patil, Ashlesha Ghayde, " Sentiment Analysis for Company Recruitment Process Using Twitter Data , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 6, pp.202-208, January-February-2020.