Product Aspect Ranking and Its Applications (11398N)
IDA Technology Roadmap 2012
This technology falls in the following categories of Singapore's IDA Infocomm Technology Roadmap 2012:
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This invention is a method to analyze reviews in order to automatically identify, first, the aspects or features of a product being reviewed and, second, the most important aspects or features from amongst those identified that influence the overall perception of a product.
The invention’s basic mechanism consists of three steps: 1) Aspect identification, 2) Sentiment classification, and 3) Aspect ranking algorithm.
The invention’s underlying mechanism has been applied to document-level sentiment classification and extractive review summarization.
This invention could be used by companies interested in identifying the public perception of their products, by those in the business of market research and forecast, and by those aggregating products reviews.
Technology Readiness Level 6 on the scale by the Ministry of Defence Singapore.
About the Research Group
Professor Chua Tat-Seng is founding Dean of the School of Computing at NUS and director of the NExT Center, a joint venture between NUS and Tsinghua University with the support of MDA of Singapore. The center focuses on crawling and mining user-generated content in Singapore and China in the areas of location-oriented information, topic-oriented information, application-oriented information and structured information.