Title :
Subjectivity and sentiment analysis of Arabic: Trends and challenges
Author :
Al-Twairesh, Nora ; Al-Khalifa, Hend ; Al-Salman, AbdulMalik
Author_Institution :
Inf. Technol. Dept., King Saud Univ., Riyadh, Saudi Arabia
Abstract :
Recently, subjectivity and sentiment analysis of Arabic has received much attention from the research community. In the past two years, an enormous number of references in the field have emerged compared to what has been published in previous years. In this paper, we present an updated survey of the emerging research on subjectivity and sentiment analysis of Arabic. We also highlight the challenges and future research directions in this field.
Keywords :
natural language processing; Arabic; sentiment analysis; subjectivity analysis; Accuracy; Feature extraction; Niobium; Semantics; Sentiment analysis; Support vector machines; Twitter; Arabic; Challenges; Subjectivity and Sentiment Analysis; Survey;
Conference_Titel :
Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on
DOI :
10.1109/AICCSA.2014.7073192