Sentiment Analysis in the World of Social Media

Book Title: AI Horizons – Exploring Multidisciplinary Frontiers (Volume 4)

Editors: Dr. Shweta A. Bansal and Dr. Charu Chhabra (PT)

ISBN: 978-81-984464-6-6

Chapter: 9

DOI: https://doi.org/10.59646/aihc9/305

Authors: Simran Bhatia, Preeti, Parinika Arora

Abstract

Social media has become an integral aspect of our day to day lives and has become a major source of our content consumption on a regular basis. Sentiment analysis is a new up-and-coming medium of understanding the sentiments of individuals through the means of social media platforms and in turn facilitate and understand various aspects that it encompasses.

References

  1. G. Beigi, X. Hu, R. Maciejewski, and H. Liu, “An overview of sentiment analysis in social media and its applications in disaster relief,” in Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence, Springer, 2016, pp. 313-340.
  2. B. Jansen, M. Zhang, K. Sobel, and A. Chowdury, “Twitter power: Tweets as electronic word of mouth,” Journal of the American Society for Information Science and Technology, vol. 60, no. 11, pp. 2169-2188, 2009.
  3. M. Ghiassi, J. Skinner, and D. Zimbra, “Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network,” Expert Systems with Applications, vol. 40, no. 16, pp. 6266-6282, 2013.
  4. W. He, S. Zha, and L. Li, “Social media competitive analysis and text mining: A case study in the pizza industry,” International Journal of Information Management, vol. 33, no. 3, pp. 464-472, 2013.
  5. B. Liu, “Sentiment analysis and opinion mining,” Synthesis Lectures on Human Language Technologies, vol. 5, no. 1, pp. 1-167, 2012.
  6. W. Medhat, A. Hassan, and H. Korashy, “Sentiment analysis algorithms and applications: A survey,” Ain Shams Engineering Journal, vol. 5, no. 4, pp. 1093-1113, 2014.
  7. M. M. Mostafa, “More than words: Social networks’ text mining for consumer brand sentiments,” Expert Systems with Applications, vol. 40, no. 10, pp. 4241-4251, 2013.
  8. F. Neri, C. Aliprandi, F. Capeci, and M. Cuadros, “Sentiment analysis on social media,” in 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2012, pp. 919-926.
  9. Oxford English Dictionary, Oxford Languages. [Online]. Available: https://www.lexico.com/definition/sentiment. [Accessed: July 1, 2024].
  10. B. Pang and L. Lee, “Opinion mining and sentiment analysis,” Foundations and Trends in Information Retrieval, vol. 2, nos. 1-2, pp. 1-135, 2008.
  11. Stanford Encyclopedia of Philosophy, “Perception.” [Online]. Available: https://plato.stanford.edu/entries/perception. [Accessed: July 1, 2024].