Sentiment analysis in Arabic tweets

Saeed Alahmari, James Buckley

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Opinions play a significant role in daily life. They can be written using social media such as blogs, forums, Facebook, Twitter, Snapchat, etc. A huge amount of data needs to be analyzed and classified. This model is called sentiment analysis opinion mining; it is a natural language processing task that classifies data's polarity as positive, negative, or neutral. The number of Arabic speaking users of social media is increasing rapidly. This paper analyzes Arabic tweets by applying an SVM algorithm to two thousands tweets, both negative and positive. In addition, this paper shows the results of a public survey and Arabic-language challenges. .

Original languageEnglish
Title of host publicationIMSCI 2015 - 9th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings
EditorsNagib Callaos, Belkis Sanchez, Andres Tremante, Jeremy Horne, Friedrich Welsch
PublisherInternational Institute of Informatics and Systemics, IIIS
Pages105-108
Number of pages4
ISBN (Electronic)9781941763308
Publication statusPublished - 2015
Externally publishedYes
Event9th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2015 - Orlando, United States
Duration: 12 Jul 201515 Jul 2015

Publication series

NameIMSCI 2015 - 9th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings

Conference

Conference9th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2015
Country/TerritoryUnited States
CityOrlando
Period12/07/1515/07/15

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