Sentiment Analysis For Social Media

May 2024
Vol-10, Issue-3
Paper ID: 24190
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Sentiment Analysis Social Media Big Data
Abstract
Sentiment analysis is the computational study of people’s opinions, sentiments, attitudes, and emotions expressed in written language. It is one of the most active research areas in natural language processing and text mining in recent years. In the business world, there is an increasing need for analyzing and characterizing the public’s attitude towards new products. Its popularity is mainly due to it has a wide range of applications because opinions are central to almost all human activities and are key influencers of our behaviors. Whenever we need to make a decision, we want to hear others’ opinions. It is thus no surprise that the inception and the rapid growth of the field coincide with those of the social media on the Web. In fact, the research has also spread outside of computer science to management sciences and social sciences due to its importance to business and society as a whole.

Author Information

# Name Institute / Affiliation
1 Anjali Jadhav Dattakala Group Of Institution Faculty Of Engineering
2 Arati Bhoi Dattakala Group Of Institution Faculty Of Engineering
3 Pranav Dhandar Dattakala Group Of Institution Faculty Of Engineering
4 Amol Popalbhat Dattakala Group Of Institution Faculty Of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Jadhav, Anjali, Bhoi, Arati, Dhandar, Pranav, & Popalbhat, Amol (2024). Sentiment Analysis For Social Media. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 4668-4672.
MLA Style
Jadhav, Anjali, et al. "Sentiment Analysis For Social Media." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 4668-4672.
IEEE Style
Anjali Jadhav, Arati Bhoi, Pranav Dhandar, and Amol Popalbhat, "Sentiment Analysis For Social Media," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 4668-4672, 2024.
Vancouver Style
Jadhav Anjali, Bhoi Arati, Dhandar Pranav, Popalbhat Amol. Sentiment Analysis For Social Media. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):4668-4672.
Harvard Style
Jadhav, Anjali, Bhoi, Arati, Dhandar, Pranav, & Popalbhat, Amol (2024) 'Sentiment Analysis For Social Media', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 4668-4672.
Chicago Style
Jadhav, Anjali, et al. "Sentiment Analysis For Social Media." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 4668-4672.
Turabian Style
Jadhav, Anjali, et al. "Sentiment Analysis For Social Media." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 4668-4672.

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