In this paper, we focus on the human language. We have processed the natural language in such a manner, so that a machine can detect the feeling as well as the emotion of the human when he/she published a write-up on the social network. From our research the machine will able to understand the human sentiment after analyzing their write-ups available on their social profile.
Social Media, Social Network, Twitter, Microblogging, Hashtagged, Emoticon, iSieve, EMOT, n-gram, lexicon, part of speech, Gammon
