Twitter Sentiment Analysis

Harshil Shah

Abstract


With the increasing popularity of social media, people have begun to express their opinions on a variety of topics on Twitter and other similar services.Sentiment Analysis on tweets has gained much attention for gathering public opinions on a wide variety of topics. In this paper, we aim to tackle the one of the fundamental problems of sentiment analysis, sentiment polarity categorization. We present a hybrid approach for identifying sentiments from a given piece of text.

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References


Hu, M and Liu, B., "Mining and summarizing customer reviews," KDD'04, 2004.

Kim, S and Hovy, E., "Determining the Sentiment of Opinions.," COLING'04, 2004.

Taboada, M., Brooke, J., Tofiloski, M., Voll, K., and Stede, M., "Lexicon-based Methods for Sentiment Analysis," Journal of Computational Linguists, 2010.

B. Pang, L. Lee, and S. Vaithyanathan. , "Thumbs up?: sentiment classification using machine learning techniques.," EMNLP ’02, 2002.

J. Read., "Using emoticons to reduce dependency in machine learning techniques for sentiment classification.," Association for Computational Linguistics., 2005.

Wiebe, J. and Riloff, E., "Creating Subjective and Objective Sentence Classifiers from Unannotated Texts," CICLing, 2005.

Lei Zhang, Riddhiman Ghosh, Mohamed Dekhil, Meichun Hsu, Bing Liu, "Combining Lexicon-based and Learning-based Methods for Twitter Sentiment Analysis," HP Laboratories, 2011.

H. Saif, "Tweenator," [Online]. Available: http://www.tweenator.com/index.php?page_id=13.

"Sanders, Niek. Twitter Sentiment Corpus. Sanders .," [Online]. Available: http://www.san.com/lab/twitter-sentiment/.

M. M, "Upenn part of speech tagger," 1996. [Online]. Available: http://www.cis.upenn.edu/~treebank/home.html.

Xing Fang and Justin Zhan, "Sentiment analysis using product review data," Journal of Big Data, 2015.

"Scikit-learn," 2014. [Online]. Available: http://scikit-learn.org/stable/.

Han J, Kamber M, Pei J, "Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems)," 2nd ed. Morgan Kaufmann, 2006.

H. T. Lewicki P, Statistics: methods and applications. Tulsa, OK. Statsoft.b, 2006.




DOI: https://doi.org/10.23956/ijarcsse.v7i12.493

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