Social networking application platforms are experiencing considerable development in equally volume and principle. A detailed characteristic of Social networking application platforms is emotion investigation, whereby a person’s emotions and feelings know how to be incidental from their posted text. Study connected to emotion examination is getting hold of important attention since it is a excellent organizer that be capable of progress client familiarity and make available innumerable modified services. Twitter is one of the largely accepted Social networking application platforms that encompass consumers commencing dissimilar counties by means of diverse traditions and verbal communications. It gives precious information for miscellaneous and huge quantity of information that is capable to be utilized to get better judgment building. In this document, the emotion direction of documented characteristics and emoji-based mechanisms is deliberated aiming “tweets” and observations posted in Arabic on Twitter for the duration of the 2018 World Cup occasion. The learning furthermore calculated the significance of analyzing texts together with or exclusive of emojis. Information was get hold of on or after thousands of tweets composed to discover emotion examination outcomes for texts and emojis independently. The outcomes demonstrate that emojis maintain the emotion direction of texts along with those texts or emojis balance each other to communicate proposed significance and consequently cannot offer dependable information independently.
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5 June 2024
INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING, AND TECHNOLOGY
28–29 November 2022
Warangal, India
Research Article|
June 05 2024
Sentiment analysis based on the comments of social media
Sukhaveerji Ghate;
Sukhaveerji Ghate
a)
1
Sumathi Reddy Institute of Technology for Women
, Warangal, Telangana, India
a)Corresponding author :[email protected]
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M. Soumya;
M. Soumya
2
School of Computer Science and Artificial Intelligence, SR University
, Warangal, Telangana, India
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Nagavelli Yogender Nath;
Nagavelli Yogender Nath
1
Sumathi Reddy Institute of Technology for Women
, Warangal, Telangana, India
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Kalime Srinivas;
Kalime Srinivas
1
Sumathi Reddy Institute of Technology for Women
, Warangal, Telangana, India
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Gadde Aruna;
Gadde Aruna
1
Sumathi Reddy Institute of Technology for Women
, Warangal, Telangana, India
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Tatiparti B. Prasad Reddy;
Tatiparti B. Prasad Reddy
2
School of Computer Science and Artificial Intelligence, SR University
, Warangal, Telangana, India
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D. Raghava Kumari
D. Raghava Kumari
1
Sumathi Reddy Institute of Technology for Women
, Warangal, Telangana, India
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a)Corresponding author :[email protected]
AIP Conf. Proc. 2971, 020019 (2024)
Citation
Sukhaveerji Ghate, M. Soumya, Nagavelli Yogender Nath, Kalime Srinivas, Gadde Aruna, Tatiparti B. Prasad Reddy, D. Raghava Kumari; Sentiment analysis based on the comments of social media. AIP Conf. Proc. 5 June 2024; 2971 (1): 020019. https://doi.org/10.1063/5.0196079
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