Political Perception in India a bout Public Opinion using Sentiment Analysis on Twitter
Sayali Jori1, Shraddha Phansalkar2
1Sayali Jori, Computer Science and Engineering, Symbiosis Institute of Technology, Pune, India.
2Shraddha Phansalkar, Computer Science and Engineering, Symbiosis Institute of Technology, Pune, India.
Manuscript received on 18 August 2021 | Revised Manuscript received on 26 August 2021 | Manuscript Accepted on 15 September 2021 | Manuscript published on 30 September 2021 | PP: 17-20 | Volume-1 Issue-1, September 2021. | Retrieval Number: A1003091121/2021©LSP
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© The Authors. Published by Lattice Science Publication (LSP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The political inclination of a country plays important part in a country. Twitter data is analyzed by using various sentiment analysis techniques to give insight of public opinion regarding political perception. The use of emoticons and emoji has increased on large scale to express feelings. The sentiment orientation of emoticons and text are related. The analyzing sentiment orientation of emoticons and text together boosts the performance of sentiment analysis system. The effect of sarcasm in political tweets is analyzed The proposed system consists of analyzing political tweets using four different techniques of sentiment analysis word wise sentiment analysis, emoticons wise sentiment analysis, emoji wise sentiment analysis and combined sentiment analysis. The accuracy of a system is validated by using Support Vector Machine. The effect of sarcasm on political tweets is analyzed using Support Vector Machine algorithm.
Keywords: Sentiment Analysis, Pre-processing, Natural Language Processing, SVM Algorithm, Training Data.