Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Emotion and opinion retrieval from social media in Arabic language: Survey
Año:2017
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
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.
Internacional
Si
Nombre congreso
2017 Joint International Conference on Information and Communication Technologies for Education and Training and International Conference on Computing in Arabic (ICCA-TICET)
Tipo de participación
960
Lugar del congreso
Khartoum, Sudán
Revisores
Si
ISBN o ISSN
978-1-5386-2226-1
DOI
10.1109/ICCA-TICET.2017.8095291
Fecha inicio congreso
01/08/2017
Fecha fin congreso
03/08/2017
Desde la página
1
Hasta la página
8
Título de las actas
2017 Joint International Conference on Information and Communication Technologies for Education and Training and International Conference on Computing in Arabic (ICCA-TICET)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Susana Muñoz Hernandez (UPM)
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