Title of article
An Empirical Review of Challenges of and Approaches to Sentiment Analysis
Author/Authors
Subbaraju, P. Department of IT - SRKREC, Bhimavaram, A.P, India , Sekhar, K. Chandra Department of IT - SRKREC, Bhimavaram, A.P, India , Raju, P. R. S. S. V. Department of IT - SRKREC, Bhimavaram, A.P, India , Raju, K. Satyanarayana Department of IT - SRKREC, Bhimavaram, A.P, India , Varma, M. K. S. Department of IT - SRKREC, Bhimavaram, A.P, India
Pages
6
From page
317
To page
322
Abstract
Nowadays, data are food for the digital world. The main rich sources of data are generated by social
networks such as Twitter, Facebook, Instagram, and LinkedIn. The data generated through microblogging
services play a vital role in business intelligence such as product reviews, movie reviews, and
election results prediction by social media data analysis. Sentiment Analysis (SA) is the key method of
predicting netizens’ emotions behind the text expressed in social media. The main objective of this
survey is to shed light on the tools and techniques used in Sentiment Analysis and the relevant fields in
brief detail.
Keywords
Business intelligence , Data generation , Sentiment analysis , Social media data analysis
Journal title
International Journal of Industrial Engineering and Production Research
Serial Year
2020
Record number
2543622
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