Enhanced Classification Framework on Social Networks: An exploration of sentiment analysis in real-time micro blogging on social networks

Abstract

With the increase of social networking period, Micro blogging websites have numerous individuals sharing their ideas daily due to its particular brief and also the straightforward fashion of expression. We recommend as well as check out a version to extract the belief from a preferred real-time mini blog writing solution, Social networking websites, where individuals upload live responses to as well as viewpoints regarding every little thing. In this paper, we state a hybrid method making use of both quantity based and also thesaurus based techniques to figure out the semantic placement of the point of view words in tweets. A study exists to show the usage as well as the performance of the suggested system.