Sarcasm Revealing using Rule Based Algorithm
S. Maheswari1, K. Arthi2
1S Maheswari*, Department of Computer Science, Bishop Heber College, Thiruchirappalli, India.
2Dr. K. Arthi, Department of Computer Science, Government Arts and Science College, Coimbatore, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 25, 2020. | Manuscript published on March 10, 2020. | PP: 2104-2108 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2978039520/2020©BEIESP | DOI: 10.35940/ijitee.E2978.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Sentiment analysis is the process of finding out whether one’s opinion is positive, negative, or neutral. Now-a-days the people are telling their opinion about the fields like marketing product, political and social phenomena are mostly through the online. Their opinions are positive, negative or neutral. The machine to identify the opinion is very difficult. There are so many issues in this field. The one of the issue is sarcasm detection. Sometimes the people give their opinion sarcastically. Sarcastic means, an opinion of an object is to say positive instead of negative. The machine will take this opinion as positive. So the final polarity of the product will be wrong due to this kind of identification. The purpose of this paper is to find these types of sentences and correct the polarity value.
Keywords: Sarcasm, Lexical, Sentiment Analysis, Product Reviews
Scope of the Article: Algorithm Engineering