Opinion mining for emotions determination
Ashwini V. Yeole, Pallavi Vijay Chavan, M. C. Nikose · 2015
The rapid growth of the World Wide Web has increased the online communication. The use of social networking sites is one of the approaches for putting views of user. In order to improve the textual methods of communication such as tweets, blogs and chat; it is needed to analyze the emotion of user by studying the input text and emotions of the user. Much of the current work in this area of emotion determination from text has typically focused on detecting the polarity of sentiment (positive/ negative/ neutral).This paper presents a novel approach for emotion estimation from the text entered by user on social networking sites with direct word or indirect emotions like emoji or smiley faces. The work proposed in this paper uses affective words and sentence context analysis methods for emotion determination. Also for helping the users to effectively express their emotion. On the basis of entered emotion by user it produces the result according to highest emotion classification. For designing the system some literature is review which provides the idea about previous work as well as comparison for improvement.