Political Sentiment Analysis Using Twitter Data-Reference-Cited by-同舟云学术

Political Sentiment Analysis Using Twitter Data

Published:2016-03-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Internet of things and Cloud Computing
language:
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Author:

Elghazaly Tarek¹,Mahmoud Amal¹,Hefny Hesham A.¹

Affiliation:

1. Computer Science Department, Institute of Statistical Studies and Research (ISSR), Cairo University, Egypt

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2896387.2896396

Reference20 articles.

1. Tumasjan A.; Sprenger T. O.; Sandner P. G.; and Welpe I. M.2010. Predicting elections with twitter: What 140 characters reveal. Tumasjan A.; Sprenger T. O.; Sandner P. G.; and Welpe I. M.2010. Predicting elections with twitter: What 140 characters reveal.

2. A Fully Automated Approach for Arabic Slang Lexicon Extraction from Microblogs

3. Mining Arabic Business Reviews

4. Parikh and Matin Movassate. 2009. "Sentiment Analysis of User-Generated Twitter Updates using Various Classification Techniques". Parikh and Matin Movassate. 2009. "Sentiment Analysis of User-Generated Twitter Updates using Various Classification Techniques".

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