An Analysis of Sentiment: Methods, Applications, and Challenges
Author:
Affiliation:
1. Department of Computer Application, School of CA&IT, Shri Guru Ram Rai University, Dehradun 248001, Uttarakhand, India
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/59/1/68/pdf
Reference46 articles.
1. A comprehensive survey on sentiment analysis: Approaches, challenges and trends;Birjali;Knowl. Based Syst.,2021
2. Distinguishing between facts and opinions for sentiment analysis: Survey and challenges;Chaturvedi;Inf. Fusion,2018
3. Data properties and the performance of sentiment classification for electronic commerce applications;Choi;Inf. Syst. Front.,2017
4. Cambria, E., Das, D., Bandyopadhyay, S., and Feraco, A. (2017). A Practical Guide to Sentiment Analysis, Springer.
5. Consensus vote models for detecting and filtering neutrality in sentiment analysis;Valdivia;Inf. Fusion,2018
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