Analysis of Social Media Behavior in Banking Institutions using Text Mining

Social networks are the foremost vital communication channels in recent years, that well-liked among the various social teams. These networks affected the ideas and policies of people, teams and communities. Every day, a lot of tweets on twitter being revealed. These tweets mirror opinions and beliefs of their publishers and have an effect on others in addition. Therefore, it's vital to investigate these tweets and establish and classify trends of various users. A set of options have been extracted to portray every cluster exploitation various text mining strategy and store these characteristics within the info. Text mining, sentiment analysis, and opinion mining techniques are wont to accomplish this extraction. During this paper, the important time tweets were fetched on banking establishments, Later the fetched tweets applied to many steps to investigate the social media behavior by using text mining.