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Descripción
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| In recent years, the use of Internet has become one of the daily activates in our life. Social networks constitute a major component of the Web and made a revolution. It includes social networks, blogs, forum discussions and micro-blogs. Users of social media generate a huge amount of comments on a daily basis. Due to this revolution, most researches are now focusing on extracting meaningful information from social media to better understand the user's attitude. Sentiment analysis and opinion mining are fields of text mining that focus on extracting and analyzing the emotions and opinions of the users with respect to specific topic. Many approaches are proposed to extract opinions and classify them based on its polarities as positive, negative or neutral. Most works on sentiment analysis are done over English language, but a few of them focused on Arabic language. In this paper, we review many researches concerned with sentiment analysis over social media in Arabic language, and analyzed them by their methods, tools, and techniques. In addition, many approaches used for sentiment classification are discussed. | |
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Internacional
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Si |
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Nombre congreso
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2017 Joint International Conference on Information and Communication Technologies for Education and Training and International Conference on Computing in Arabic (ICCA-TICET) |
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Tipo de participación
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960 |
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Lugar del congreso
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Khartoum, Sudán |
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Revisores
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Si |
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ISBN o ISSN
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978-1-5386-2226-1 |
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DOI
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10.1109/ICCA-TICET.2017.8095291 |
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Fecha inicio congreso
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01/08/2017 |
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Fecha fin congreso
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03/08/2017 |
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Desde la página
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1 |
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Hasta la página
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8 |
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Título de las actas
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2017 Joint International Conference on Information and Communication Technologies for Education and Training and International Conference on Computing in Arabic (ICCA-TICET) |