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JOB RECURIEMENT USING TWITTER SENTIMENTAL ANALYSIS

Dr.C.Siva1,  M.Hariharan2, S.Indhuvadhani 3, M.Kavitha4, M.Sivaneshwaran5

1Head of the Department, Department of Information Technology, Nandha Engineering College-Erode- 638052, Tamilnadu, India.

2,3,4,5UG Scholar, Information Technology, Nandha Engineering College-Erode- 638052, Tamilnadu, India.

E-mail:  sivaneshwaranmuthuvel19@gmail.com

ABSTRACT: This journal investigates the use of Twitter sentiment analysis for recruitment goals. The Tweedy Python module was used to gather tweets containing specified keywords linked to job vacancies, and then sentiment analysis was used to each tweet to evaluate whether it was good, negative, or neutral. The findings demonstrated that sentiment analysis on Twitter can provide useful insights into candidates' personalities, hobbies, and attitudes, allowing recruiters to assess candidates' fit for the organisation. This strategy, however, has limitations and should be utilised as a supplement to the recruitment process. Overall, social media platforms such as Twitter have the potential to play a growing role in identifying the right talent for businesses.

Keywords:  Sentiment analysis, Recruitment, Twitter, social media, Personality, Candidate evaluation, Job openings, Tweedy Keywords, Online presence.