Automatic Generation of Emotions for Social NetworkingWebsites using Text Mining

Abstract

Online Social Networks are so popular nowadays that they are a major component of an individuals social interaction. They are also emotionally-rich environments where close friends share their emotions, feelings and thoughts. The Blogs on some social networking websites are often online diaries published and maintained by bloggers, reporting on their daily activities and feelings, emotions. Communication in the form of a text is the most accustomed approach on the web as compared to the other forms. In order to improve the textual methods of communication such as tweets, blogs and chat; emotion estimation from text is the foremost requirement for such social networking services. It also enables the computer system to behave more intelligently based on the users mood. The task to assign automatically an emotion label to each sentence in the given dataset, indicating the predominant emotion type expressed in the sentence is very much important in different fields such as sentiment analysis,Human computer Interaction.