Implementation of Machine Learning Algorithms in Arabic Sentiment Analysis Using N-Gram Features

Author:

Gamal Donia,Alfonse Marco,El-Horbaty El-Sayed M.,Salem Abdel-Badeeh M.

Publisher

Elsevier BV

Subject

General Engineering

Reference24 articles.

1. Gamal, Donia, Marco Alfonse, El-Sayed M. El-Horbaty, and Abdel-Badeeh M. Salem. "A comparative study on opinion mining algorithms of social media statuses." Proceedings of Intelligent Computing and Information Systems (ICICIS), 2017 Eighth International Conference on, pp. 385-390. IEEE, 2017.

2. Bollen, Johan, Huina Mao, and Alberto Pepe. "Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena." Proceedings of International Aaai Conference On Web And Social Media (Icwsm), No. 11, pp: 450-453, 2011.

3. Opinion mining on the web 2.0–characteristics of user generated content and their impacts;Petz,2013

4. Hagen, Matthias, Martin Potthast, Michel Büchner, and Benno Stein. "Twitter sentiment detection via ensemble classification using averaged confidence scores." Proceedings of European Conference on Information Retrieval, pp. 741-754. Springer, Cham, 2015.

5. Business intelligence and analytics: from big data to big impact;Chen;International Journal of Management Information Systems Research Center (MIS) quarterly,2012

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