Analysis of Twitter Sentiments Using Machine Learning to Identify Polarity

The extraction and the method of investigation of the opinions and attitudes from any kind of text is known as sentiment analysis. Sentiment analysis is a popular way for expressing the views of a large group or mass total. To improve sentiment classification results at a finer level, known as the sentence level is the purpose of this project, where the polarity of a sentence can be set on by one of three categories: positive., negative, or neutral. For measuring the people perceptions, there is a method known as the sentiment analysis creation program. Social media like twitter has a huge amount of unshaped data in the form of tweets. This Sentiment analysis program combines NLP dictionaries along with machine learning to assign a weighted sentiment value to each sentence. The raw data from social media, that is highly mixed up and messy, cannot be refined in its current state and produce sufficient outcome. From the data gathered from Twitter, sentiment analysis is carried