The Olympic are seen as the pinnacle of international sporting achievement. Social Media platforms like Twitter provide the world with access to an infinite space to share sentiments, especially during sporting events. 84,832 unique tweets related to the Tokyo 2020 Olympics were scraped and the most popular, effective, and efficient machine learning and deep learning techniques for sentiment analysis of those tweets were explored and analyzed. The results of 25 different feature extraction, machine learning and deep learning pipelines were analyzed in order to assess the best-suited framework for the task. The best Machine Learning combination was Random Forest with either Bag of Words or Term Frequency - Inverse Document Frequency with an accuracy score of 0.963, and the best Deep Learning combination was Bidirectional – Long Short-Term Memory with GloVe with an accuracy score of 0.975.
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11 December 2023
APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS (AMEE’22): Proceedings of the 48th International Conference “Applications of Mathematics in Engineering and Economics”
7–13 June 2022
Sofia, Bulgaria
Research Article|
December 11 2023
Socialympics - Sentiment analysis of tweets about the Tokyo Olympics 2021 using machine learning and deep learning approaches
Keshav Nath;
Keshav Nath
a)
1
Department of Mechanical Engineering, Delhi Technological University
, New Delhi, India
a)Corresponding author: [email protected]
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Aman Ahuja;
Aman Ahuja
b)
2
Department of Civil Engineering, Delhi Technological University
, New Delhi, India
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Twarit Shah;
Twarit Shah
c)
1
Department of Mechanical Engineering, Delhi Technological University
, New Delhi, India
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Aakansha Gupta;
Aakansha Gupta
d)
3
Department of Computer Science and Engineering, Delhi Technological University
, New Delhi, India
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Rahul Katarya
Rahul Katarya
e)
3
Department of Computer Science and Engineering, Delhi Technological University
, New Delhi, India
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a)Corresponding author: [email protected]
AIP Conf. Proc. 2939, 030004 (2023)
Citation
Keshav Nath, Aman Ahuja, Twarit Shah, Aakansha Gupta, Rahul Katarya; Socialympics - Sentiment analysis of tweets about the Tokyo Olympics 2021 using machine learning and deep learning approaches. AIP Conf. Proc. 11 December 2023; 2939 (1): 030004. https://doi.org/10.1063/5.0178877
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