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Sentiment Analysis of Employees Using Machine Learning Approach

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Pratiksha L. Jagtap1, Dr. Mukta Dhopeshwarkar2, Nilofer Farhat3, Pratik S. Jaiswal4, Sarika K. Swami5
» doi: 10.48047/ecb/2023.12.12.19


Twitter is a prominent social networking service where users freely communicate their thoughts, opinions, and emotions. These tweets are recorded and analysed in order to extract the emotions of people connected to an employee who works in several locations. A collection of commonly occurring words is created by recoding and pre-processing around 184 tweets. SPSS is used to investigate emotions and polarity. Navie-based classifiers were used to determine the correctness of the conclusion reached.

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