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@article{142387,
        author = {Rashmi Kumari and Mayura Sasane},
        title = {Emotion analysis using text mining on social networks},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {1},
        pages = {20-27},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=142387},
        abstract = {Today, everyone has numerous possibilities to express his opinion, share content with others and access almost any information in a couple of seconds. Social networking Websites like facebook, MySpace, twitter welcome millions of visitors daily, the content produced by these millions of users is obviously enormous. They can create opportunities to establish interaction among people leading to mutual learning and sharing of knowledge, such as chat, comments. Sentiment Analysis is the technique to analyze the emotion from a text document, message, or similar content. Emotion Analysis algorithms are used to predict the public emotion on various issues getting discussed in the social network threads. In this research, we are discussing various techniques and methods to mining emotion from text. On the basis of text comments we categories which type of friendship exist.},
        keywords = {Online social networks, Data mining, emotion mining, Text Mining, friendship },
        month = {},
        }