29 اردیبهشت 1403
رحيم دهخوارقاني

رحیم دهخوارقانی

مرتبه علمی: استادیار
نشانی: بناب-دانشگاه بناب
تحصیلات: دکترای تخصصی / کامپیوتر
تلفن: 04137745000-1636
دانشکده: دانشکده فنی و مهندسی
گروه: گروه مهندسی کامپیوتر

مشخصات پژوهش

عنوان
Sentiment analysis in Persian using discourse and external semantic information
نوع پژوهش مقاله ارائه شده
کلیدواژه‌ها
Sentiment analysis, semantic relations, classifier combination, Persian
پژوهشگران رحیم دهخوارقانی (نفر اول)، حجت امامی (نفر دوم)

چکیده

Many approaches have been proposed to extract the sentiment of individuals from documents written in natural languages in recent years. The majority of these approaches have focused on English, while resource-lean languages such as Persian suffer from the lack of research work and language resources. Due to this gap in Persian, the current work is accomplished to propose a hybrid method for sentiment analysis which has been applied in Persian. His method takes advantage of local discourse information and external knowledge bases, and also covers several language issues such as negation and intensification, and addresses different granularity levels, namely word, aspect, sentence, phrase, and document-levels. In order to evaluate the performance of the proposed approach, a Persian dataset is collected from Persian hotel reviews referred to as hotel reviews. The experimental results approve the effectiveness of the proposed approach when compared to related works.