Latest trends in sentiment analysis - A survey

IJCSEC Front Page

Abstract:
Nowadays, people express their reactions to various public issues, events or products in social media applications. An organization can analyze such reactions of people to take an action on the event. Sentiment analysis helps to do that. It is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. There are several methods evolving to do sentiment analysis in the era of Big data. This survey deals with latest trends in sentiment analysis. Sentiment computing of news events and shop reviews are some applications.

Keywords: Social media applications, Sentiment analysis, Big data.

References:

  1. Cut Fiarni et al., Sentiment Analysis System for Indonesia Online Retail Shop Review Using Hierarchy Naive Bayes Technique, 2016 Fourth International Conference on Information and Communication Technologies (ICoICT), ISBN: 978-1- 4673-9879-4.
  2. Dandan Jiang, Xiangfeng Luo , Junyu Xuan, Zheng Xu, Sentiment Computing for the News Event Based on the Social Media Big Data , IEEE Transactions,2169-3536 2016.
  3. J. Xuan, X. Luo, G. Zhang, J. Lu, and Z. Xu, Uncertainty analysis for the keyword system of web events, Systems, Man, and Cybernetics: Systems, IEEE Transactions on, vol. PP, no. 99, pp.1-1, 2015.
  4. Fotis Aisopos et al., Using n-gram graphs for sentiment analysis: an extended study on Twitter, 2016 IEEE Second International Conference on Big Data Computing Service and Applications, 978-1-5090-2251-9/16.