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A Review on Sarcasm Detection from Machine-Learning Perspective (Meta…
A Review on Sarcasm Detection from
Machine-Learning Perspective
Information
SARCASM DETECTION APPROACHES
Machine learning approach
The machine learning approach is a method of analysis that forms a model to predict, arrange or classify data through the statistical process
Algorithm
Rule-based approach
Meanwhile, rule-based approach is a technique which exploits semantic, syntactic and stylistic properties of sentences in any language such as phrase pattern, lexical and structural attributes to analyze the sentiment of a sentence.
Type
Semantic-based
Semantic polarity in sarcastic
sentences
Parsing-based
Statistical based
Implement statistical formula to feature such as signatures, unexpectedness, style, emotional scenarios, and representativeness.
Meta
Author
Setra Genyang Wicana
Taha Yasin İbisoglu
Uraz Yavanoglu
Year
2017
Goals
This paper will try to explain current mostly used method to detect sarcasm. Lastly, we will present a result of our finding, which might help other researchers to gain a better result in the future
Result