MACHINE LEARNING BASED SARCASM DETECTION ON TWITTER DATA
Abstract & Details
Research Area
COMPUTER SCIENCE ENGINERING
Keywords
MANUSCRIPT THAT SHOULD BE SUBMITTED
Abstract
Sarcasm is a sophisticated form of irony widely used in social networks and micro blogging websites. It is usually used to convey implicit information within the message a person transmits. Sarcasm might be used for different purposes, such as criticism or mockery. However, it is hard even for humans to recognize. Therefore, recognizing sarcastic statements can be very useful to improve automatic sentiment analysis of data collected from micro blogging websites or social networks. Sentiment analysis refers to the identification and aggregation of attitudes and opinions expressed by internet users towards a specific topic. For the detection of Sarcasm in plain text we are going to use Machine Learning Classification Methods. By detecting Sarcasm from social media’s like twitter we can identify irrelevant and sarcastic opinions of people. These opinions can be used as reviews for the effective business decisions.
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | ATHIRA KMENON | IES COLLEGE OF ENGINEERING |
| 2 | NEETHU P | IES COLLEGE OF ENGINEERING |
| 3 | DR.G.KIRUTHIGA | IES COLLEGE OF ENGINEERING |
How to Cite
Use the following formats to cite this article in your research.
APA Style
KMENON, ATHIRA, P, NEETHU, & DR.G.KIRUTHIGA (2022). MACHINE LEARNING BASED SARCASM DETECTION ON TWITTER DATA. International Journal of Advance Research and Innovative Ideas In Education, 8(4), 167-172.
MLA Style
KMENON, ATHIRA, et al. "MACHINE LEARNING BASED SARCASM DETECTION ON TWITTER DATA." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 4, 2022, pp. 167-172.
IEEE Style
ATHIRA KMENON, NEETHU P, and DR.G.KIRUTHIGA, "MACHINE LEARNING BASED SARCASM DETECTION ON TWITTER DATA," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 4, pp. 167-172, 2022.
Vancouver Style
KMENON ATHIRA, P NEETHU, DR.G.KIRUTHIGA. MACHINE LEARNING BASED SARCASM DETECTION ON TWITTER DATA. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(4):167-172.
Harvard Style
KMENON, ATHIRA, P, NEETHU, & DR.G.KIRUTHIGA (2022) 'MACHINE LEARNING BASED SARCASM DETECTION ON TWITTER DATA', International Journal of Advance Research and Innovative Ideas In Education, 8(4), pp. 167-172.
Chicago Style
KMENON, ATHIRA, NEETHU P, and DR.G.KIRUTHIGA. "MACHINE LEARNING BASED SARCASM DETECTION ON TWITTER DATA." International Journal of Advance Research and Innovative Ideas In Education 8, no. 4 (2022): 167-172.
Turabian Style
KMENON, ATHIRA, NEETHU P, and DR.G.KIRUTHIGA. "MACHINE LEARNING BASED SARCASM DETECTION ON TWITTER DATA." International Journal of Advance Research and Innovative Ideas In Education 8, no. 4 (2022): 167-172.
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