The International Journal of Innovative Research in Computer and Communication Engineering
Mining social emotions from text and more documents are assigned by social users with emotion labels like happiness, warmness, and amusement. Documents categorized based on emotions and it help for related document selection in online. It can collect document from social users and assign emotion for the words in that document and based on the preference level the authors can achieve emotion for the whole document. In the existing approach usually the document model is the bag-of-word and there is no relationship between the words. In proposed paper documents collected from online and using emotion-topic model for emotion modeling.