Abstract
Abstract: The purpose of tweet sentiment analysis is to determine the positive, negative, or neutral sentiment component in tweeter data. Sentiment analysis may assist any organisation in discovering people's perceptions of their firm and products. We ran sentiment analysis on the Twitter data set. Our algorithm accepts the input tweet, sentiment, and selected text that begins and ends in the input tweet. We have decided to create an end-to end project on' Sentiment analysis and visualisation of popular topics on Twitter. There will be areas such as products, compare, and so on. The user will be able to search for a topic of interest and find an analysis of that issue.
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