Current Proceedings on Technology

Yazarlar: Vesile Evrim, Daniyar Matraimov

Konular:-

Anahtar Kelimeler:Sentiment Analysis,Feature Extraction,User Review,Rating,WordNet,Polarity

Özet: As the number of available products increases, consumers are often feel enforced to search through online reviews to make an informed product choice. Therefore, it has become important to develop methods to help customers to find the best products that fit their request. This paper analyzes the two dimensions of the review rating process: feature extraction and sentiment analysis. In feature extraction, we used term frequencies and adopted several algorithms to reduce the dimension of the feature set. For sentiment analysis, extracted feature set is used with developed algorithms to determine the polarity of the reviews. Several experiments are done to test the success of the system. As a result, we did not only able to provide detailed feature-based ratings to the users but also able to propose more reliable rating scores than the websites of the products.   

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