A Survey of Quality Prediction of Product Reviews
作者： H. Almagrabi , A. Malibari , J. McNaught
DOI: 10.14569/IJACSA.2015.061107
关键词:
摘要: With the help of Web-2.0, Internet offers a vast amount reviews on many topics and in different domains. This has led to an explosive growth product customer feedback, which presents problem how handle abundant volume data. It is expensive time-consuming task analyze this huge content opinions. Therefore, need for automated sentiment analysis systems vital. However, these encounter challenges; assessing quality posted opinions important area study that related analysis. Currently, review helpfulness assessed manually; however automatically it gained more attention recent years. paper provides survey approaches challenge identifying reviews.
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