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Tweet Sarcasm : Mechanism of Sarcasm Detection in Twitter
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bindra, Komalpreet Kaur Gupta, Ankita |
| Copyright Year | 2016 |
| Abstract | The www is growing at an alarming rate . Users have started participating actively on Internet by giving their opinions on products, services and blogs. Study and analysis of such opinions is known as Opinion Mining. But sometimes users prefer being sarcastic. Sarcasm is a linguistic phenomenon in which people state the opposite of what they actually mean. Sarcasm Detection is a challenging task, even for humans. It is a part of Opinion Mining which is studied so that different sentiments can be analyzed and worked upon. In this paper, the overall mechanism of sarcasm detection is seen, which is rooted on the data from Twitter, a popular micro blogging service. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ijcsit.com/docs/Volume%207/vol7issue1/ijcsit2016070148.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |