Assigning Sentiment Score for Twitter Tweets

Srinidhi Bhat, Saksham Garg, G. Poornalatha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Customer satisfaction has become a part of many business. Unlike in the past, companies just do not rely on pure advertisement to make their product more desirable. Their prime concern now has turned towards customer satisfaction. Similarly, people are more curious to know about the current popular opinion on events happening around the world and information about the favorite celebrities, favorite product, etc. People have turned towards social media to share their experiences and views about products as well as other people. The current work aims at using this as a base for developing a system that perceives the opinion of people about a specific product or a person. Till now, there is a lot of research that has been done in this topic. Various papers have showed different strategies to enhance sentiment analysis. In this paper, we have worked on improving the algorithms so that the sentiment conveyed can be classified in the appropriate class it belongs to.

Original languageEnglish
Title of host publication2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages934-937
Number of pages4
ISBN (Electronic)9781538653142
DOIs
Publication statusPublished - 30-11-2018
Event7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018 - Bangalore, India
Duration: 19-09-201822-09-2018

Conference

Conference7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018
CountryIndia
CityBangalore
Period19-09-1822-09-18

Fingerprint

Customer satisfaction
Industry

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

Bhat, S., Garg, S., & Poornalatha, G. (2018). Assigning Sentiment Score for Twitter Tweets. In 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018 (pp. 934-937). [8554762] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACCI.2018.8554762
Bhat, Srinidhi ; Garg, Saksham ; Poornalatha, G. / Assigning Sentiment Score for Twitter Tweets. 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 934-937
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Bhat, S, Garg, S & Poornalatha, G 2018, Assigning Sentiment Score for Twitter Tweets. in 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018., 8554762, Institute of Electrical and Electronics Engineers Inc., pp. 934-937, 7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018, Bangalore, India, 19-09-18. https://doi.org/10.1109/ICACCI.2018.8554762

Assigning Sentiment Score for Twitter Tweets. / Bhat, Srinidhi; Garg, Saksham; Poornalatha, G.

2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 934-937 8554762.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Bhat S, Garg S, Poornalatha G. Assigning Sentiment Score for Twitter Tweets. In 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 934-937. 8554762 https://doi.org/10.1109/ICACCI.2018.8554762