A Hybrid Approach to Sentiment Analysis and its Application to Persian
سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 596
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شناسه ملی سند علمی:
ICTI02_061
تاریخ نمایه سازی: 7 خرداد 1398
چکیده مقاله:
Sentiment analysis which attempts to extract polarity from data (mostly text) has attracted many researchersin recent years. English as the richest language in this area consists of many resources and research work, but many otherlanguages including Persian lack these resources and research work. In this paper, a new hybrid approach based onclassifier combination is proposed for sentence-level and document-level sentiment analysis, which is applied on thePersian language. Moreover, language issues such as negation and intensification have been investigated. The obtainedresults approve the effectiveness of the proposed methodology.
کلیدواژه ها:
Sentiment analysis ، Classification ، Classifier combination ، Sentence level sentiment analysis ، Document level sentiment analysis
نویسندگان
Rahim Dehkharghani
Faculty of Engineering, University of Bonab, Bonab, Iran
Mehdi Hosseinzadeh Aghdam
Faculty of Engineering, University of Bonab, Bonab, Iran