Airline Twitter Sentiment Classification Using Machine Learning Techniques

Abstract

Today, there is more and more interest in social media. Numerous social media provide an outlet for the expression and spread of opinions about a broad range of topics, both publicly and privately. One of the social networks which have become popular is Twitter. Twitter provides organizations with a fast and effective way of analysing customers' views on the key to success in the marketplace. The sentiment analysis project is to assess the content of a given text's emotions, whether there are positive, negative or neutral feelings. Creating a vision test is a method used to evaluate people's opinions. This article shows how to create an opinion poll and how to remove many tweets. The results divide consumers' opinions of tweets into positive and negative. With the help of sentiment analysis, they will identify their weak points based on negative sentiments and start improving. Similarly, they will also identify strong points based on positive sentiments and they will try to maintain those with the same consistency or keep it up in future.