Expression Analysis of Tweets using NLP in Machine Learning

Nowadays the social media has become one of the most essential platforms for reviewing and commenting their own opinions and perspectives. Sentiment analysis is the study of analyzing reviews of the people from texts, products and also analyzing the customer opinions. Expression or Sentiment analysis uses machine learning concepts particularly Natural Language Processing and various ML algorithms. Mining of the data helps to draw conclusions from various fields. We have proposed a paper where we analyze the sentiments of twitter data, identify and segregate positive tweets and negative tweets using machine learning and displaying the number of positive and negative tweets, plotting them using histogram and displaying the classification report. We have done this project since it is one of the most important tasks of classifying the positive and negative texts and analyze the sentiments which is very crucial for any organization’s growth