As social networking sites are popular, so they become major part of person’s social interaction. These social networking sites are rich in emotions where people share their feelings, opinions, emotions. Extracting emotions from these social networking sites play an important role in various fields. Many techniques are proposed by various authors to extract emotions from these social networking sites. This paper presents various studies carried out in the field of EmoMining. The basic objective is to extract the emotional content of texts in online social networks. For this purpose, text mining techniques are performed on comments retrieved from a social network. This paper includes data collection, database schemas, data pre-processing and data mining steps. The informal language of online social networks is a main point to take into account before performing any emotion mining techniques. Here EmoMining related to tweets from social networking site is presented. Also emotion mining based on fuzzy rule base is also discussed along with brief description of fuzzy set theory.

Emotion mining, social networking, tweets, twitter, fuzzy rule, fuzzy set theory

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