Volume 31, Issue 2 (IJIEPR 2020)                   IJIEPR 2020, 31(2): 317-322 | Back to browse issues page

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Subbaraju P, Chandra Sekhar K, Raju P, Satyanarayana Raju K, Varma M K S. An Empirical Review on Challenges and Approaches in Sentiment Analysis. IJIEPR 2020; 31 (2) :317-322
URL: http://ijiepr.iust.ac.ir/article-1-1062-en.html
An Empirical Review on Challenges and Approaches in Sentiment Analysis
P Subbaraju 1, K. Chandra Sekhar2 , P.R.S.S.V. Raju2 , K. Satyanarayana Raju2 , M. K. S. Varma2
1- Department of IT, SRKREC, Bhimavaram, A.P, India, , raju.pericherla74@pec.edu
2- 1. Department of IT, SRKREC, Bhimavaram, A.P, India
Abstract:   (3255 Views)
Nowadays, data are the food for the digital world. The main rich sources for data generated by social networks such as Twitter, Face book, Instagram, and LinkedIn. The data generated from micro-blogging services are plays a vital role in business intelligence like product reviews, movie reviews, 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 motto of this survey to give complete idea about tools and the techniques used in Sentiment Analysis and the relevant fields with brief details.
Keywords: Business Intelligence, Data Generation, Sentiment Analysis, Social Media Data Analysis
Full-Text [PDF 523 kb]   (1690 Downloads)    
Type of Study: Research | Subject: Logistic & Apply Chain
Received: 2020/04/28 | Accepted: 2020/04/28 | Published: 2020/04/28
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