Combining Review Text Content and Reviewer-Item Rating Matrix to Predict Review Rating
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منابع مشابه
Combining Review Text Content and Reviewer-Item Rating Matrix to Predict Review Rating
E-commerce develops rapidly. Learning and taking good advantage of the myriad reviews from online customers has become crucial to the success in this game, which calls for increasingly more accuracy in sentiment classification of these reviews. Therefore the finer-grained review rating prediction is preferred over the rough binary sentiment classification. There are mainly two types of method i...
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Online reviews are an important asset for users deciding to buy a product, see a movie, or go to a restaurant, as well as for businesses tracking user feedback. However, most reviews are written in a free-text format, and are therefore difficult for computer systems to understand, analyze, and aggregate. One consequence of this lack of structure is that searching text reviews is often frustrati...
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Traditional sentiment analysis mainly considers binary classifications of reviews, but in many real-world sentiment classification problems, nonbinary review ratings are more useful. This is especially true when consumers wish to compare two products, both of which are not negative. Previous work has addressed this problem by extracting various features from the review text for learning a predi...
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2016
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2016/5968705