SAMAR: Subjectivity and sentiment analysis for Arabic social media
نویسندگان
چکیده
SAMAR: Subjectivity and sentiment analysis for Arabic social media Muhammad Abdul-Mageed a,b,∗, Mona Diab c, Sandra Kübler a a Department of Linguistics, Indiana University, 1021 E 3rd. St., Bloomington, IN 47405, USA b School of Library and Information Science, 1320 East 10th Street, Bloomington, IN 47405, USA c Department of Computer Science, School of Engineering & Applied Science, The George Washington University, Washington, DC, USA
منابع مشابه
SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media
In this work, we present SAMAR, a system for Subjectivity and Sentiment Analysis (SSA) for Arabic social media genres. We investigate: how to best represent lexical information; whether standard features are useful; how to treat Arabic dialects; and, whether genre specific features have a measurable impact on performance. Our results suggest that we need individualized solutions for each domain...
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ورودعنوان ژورنال:
- Computer Speech & Language
دوره 28 شماره
صفحات -
تاریخ انتشار 2014