An Empirical Review on Challenges and Approaches in Sentiment Analysis
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, ele...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Iran University of Science & Technology
2020-06-01
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| Series: | International Journal of Industrial Engineering and Production Research |
| Subjects: | |
| Online Access: | http://ijiepr.iust.ac.ir/article-1-1062-en.html |
| _version_ | 1819003545054085120 |
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| author | P Subbaraju K. Chandra Sekhar P.R.S.S.V. Raju K. Satyanarayana Raju M. K. S. Varma |
| author_facet | P Subbaraju K. Chandra Sekhar P.R.S.S.V. Raju K. Satyanarayana Raju M. K. S. Varma |
| author_sort | P Subbaraju |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T23:22:42Z |
| format | Article |
| id | doaj.art-3da8d9e70d604e5b9de5155dd4333dd1 |
| institution | Directory Open Access Journal |
| issn | 2008-4889 2345-363X |
| language | English |
| last_indexed | 2024-12-20T23:22:42Z |
| publishDate | 2020-06-01 |
| publisher | Iran University of Science & Technology |
| record_format | Article |
| series | International Journal of Industrial Engineering and Production Research |
| spelling | doaj.art-3da8d9e70d604e5b9de5155dd4333dd12022-12-21T19:23:29ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2020-06-01312317322An Empirical Review on Challenges and Approaches in Sentiment AnalysisP Subbaraju0K. Chandra Sekhar1P.R.S.S.V. Raju2K. Satyanarayana Raju3M. K. S. Varma4 Department of IT, SRKREC, Bhimavaram, A.P, India, 1. Department of IT, SRKREC, Bhimavaram, A.P, India 1. Department of IT, SRKREC, Bhimavaram, A.P, India 1. Department of IT, SRKREC, Bhimavaram, A.P, India 1. Department of IT, SRKREC, Bhimavaram, A.P, India 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.http://ijiepr.iust.ac.ir/article-1-1062-en.htmlbusiness intelligencedata generationsentiment analysissocial media data analysis |
| spellingShingle | P Subbaraju K. Chandra Sekhar P.R.S.S.V. Raju K. Satyanarayana Raju M. K. S. Varma An Empirical Review on Challenges and Approaches in Sentiment Analysis International Journal of Industrial Engineering and Production Research business intelligence data generation sentiment analysis social media data analysis |
| title | An Empirical Review on Challenges and Approaches in Sentiment Analysis |
| title_full | An Empirical Review on Challenges and Approaches in Sentiment Analysis |
| title_fullStr | An Empirical Review on Challenges and Approaches in Sentiment Analysis |
| title_full_unstemmed | An Empirical Review on Challenges and Approaches in Sentiment Analysis |
| title_short | An Empirical Review on Challenges and Approaches in Sentiment Analysis |
| title_sort | empirical review on challenges and approaches in sentiment analysis |
| topic | business intelligence data generation sentiment analysis social media data analysis |
| url | http://ijiepr.iust.ac.ir/article-1-1062-en.html |
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