Emotion Recognition By Textual Tweets Using Machine Learning (original) (raw)

Opinion mining has become difficult due of the abundance of user-generated content on social media. Twitter is used to gather opinions about products, trends, and politics as a microblogging site. Sentiment analysis is a technique used to examine people's attitudes, feelings, and opinions toward anything. It may be applied to tweets to examine how the public feels about news, legislation, social movements, and political figures. Natural language processing and machine learning are both regarded as having a category called sentiment analysis. It is used to separate, identify, or represent views from various information structures, such as news, audits, and articles, and it classifies them as positive, neutral, or negative. From tweets in several Indian languages, election results are tough to forecast. To get tweets in Hindi, we used the Twitter Archiver programme. We used data (text) mining to examine 48,276 tweets that mentioned five national political parties in India over the course of a period of time. Both supervised and unsupervised methods were applied.