Sentiment analysis and classification of Indian farmers’ protest using twitter data-Reference-Cited by-同舟云学术

Sentiment analysis and classification of Indian farmers’ protest using twitter data

Published:2021-11 Issue:2 Volume:1 Page:100019
ISSN:2667-0968
Container-title:International Journal of Information Management Data Insights
language:en
Short-container-title:International Journal of Information Management Data Insights

Author:

Neogi Ashwin Sanjay,Garg Kirti Anilkumar,Mishra Ram Krishn,Dwivedi Yogesh K

Publisher

Elsevier BV

Reference50 articles.

1. SANA: A large scale multi-genre, multi-dialect lexicon for arabic subjectivity and sentiment analysis;Abdul-Mageed,2014

2. An information-theoretic perspective of tf-idf measures;Aizawa;Information Processing & Management,2003

3. Experience: Managing misinformation in social media-insights for policymakers from twitter analytics;Aswani;Journal of Data and Information Quality (JDIQ),2019

4. Bakshi, R. K., Kaur, N., Kaur, R., & Kaur, G. (2016). Opinion mining and sentiment analysis. 978-9-3805-4421-2/16.

5. A random forest guided tour;Biau;Test,2016

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