Sarcasm Detection From Twitter Database Using Text Mining Algorithms
نویسندگان
چکیده
منابع مشابه
Contextualized Sarcasm Detection on Twitter
Sarcasm requires some shared knowledge between speaker and audience; it is a profoundly contextual phenomenon. Most computational approaches to sarcasm detection, however, treat it as a purely linguistic matter, using information such as lexical cues and their corresponding sentiment as predictive features. We show that by including extra-linguistic information from the context of an utterance ...
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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 tas...
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Noise in online networks especially knowledge networks such as Quora, Yahoo! Q&A, reddit can be attributed to jokes, redundancy, insults, sarcasm. As the size of the content on these websites grows in a manner not possible to be monitored manually, there is a need to automatically detect the undesired text to increase the signal (useful content) to noise ratio. Popular machine learning algorith...
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ژورنال
عنوان ژورنال: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
سال: 2021
ISSN: 1309-4653
DOI: 10.17762/turcomat.v12i11.6144