articleJul 25, 2004Closed access
Mining opinion features in customer reviews
University of Illinois Chicago
Abstract
It is a common practice that merchants selling products on the Web ask their customers to review the products and associated services. As e-commerce is becoming more and more popular, the number of customer reviews that a product receives grows rapidly. For a popular product, the number of reviews can be in hundreds. This makes it difficult for a potential customer to read them in order to make a decision on whether to buy the product. In this project, we aim to summarize all the customer reviews of a product. This summarization task is different from traditional text summarization because we are only interested in the specific features of the product that customers have opinions on and also whether the…
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1,272
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Authors
2Topics & keywords
Topics
Keywords
- Automatic summarization
- Computer science
- Product (mathematics)
- Sentiment analysis
- Task (project management)
- Focus (optics)
- Order (exchange)
- World Wide Web
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