Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/7607
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dc.contributor.authorJadeja, Gayatriba-
dc.date.accessioned2017-07-26T06:19:03Z-
dc.date.available2017-07-26T06:19:03Z-
dc.date.issued2017-05-
dc.identifier.urihttp://hdl.handle.net/123456789/7607-
dc.description.abstractSarcasm is a sharp remark to mock or insult using words which means the opposite of what is literally said. Sarcasm is extremely healthy for the mind. People who understand sarcasm well are often good at reading peoples mind. Sarcasm is very tricky part of speech and is relatively unexplored for social media analysis. It being tricky is very hard to detect not just automatically but even for humans. Sarcasm is a distinct kind of sentiment in which the meaning of the statement is opposite of what is said i.e the literal meaning of the statement is opposite of actual meaning. It is used mostly to mock or insult people or to be funny. It is expressed though body gestures, tonal changes but for obvious reason they cannot be documented and hence not useful for sarcasm detection in text. Our goal is to develop a system for sarcasm detection.By using interjection words sarcasm can be detected. Select interjection words from the statement and their reply and based on that sarcasm detection is done . If the statement has negative sentiment and its reply has interjection word followed by positive sentiment sentence or vice-verse then it is considered sarcastic.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries15MCEI08;-
dc.subjectComputer 2017en_US
dc.subjectProject Report 2017en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject15MCEIen_US
dc.subject15MCEI08en_US
dc.subjectINSen_US
dc.subjectINS 2017en_US
dc.subjectCE (INS)en_US
dc.titleSarcasm Detectionen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE (INS)

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