Sentiment Analysis For Customer And Employee Reviews at Infosys, Nagpur

Abstract

This research delves into the application of sentiment analysis techniques to assess customer and employee reviews related to Infosys, Nagpur. In today’s digital landscape, the abundance of usergenerated content offers an opportunity to derive meaningful insights into consumer behaviour and stakeholder satisfaction. The study specifically utilizes Natural Language Processing (NLP) and machine learning algorithms to analyse a dataset of 1,000 reviews collected over a six-month  timeframe. The primary goal is to classify the sentiments expressed in these reviews into three categories: positive, neutral, and negative. The analysis revealed a sentiment distribution where 67% of reviews exhibited a positive sentiment, 21% were neutral, and 12% were negative.