Conference proceeding
Mining consumer opinions from the Web
WEBIST 2008: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2
01 Jan 2008
Abstract
The Web has provided an excellent platform for business to consumer (B2C) electronic commerce. B2C electronic commerce offers convenience, choice, lower cost and customization to consumers. The electronic shopping platform allows consumers to make intelligent comparison and purchasing decision on consumer products. In addition to comparing product specifications as described on electronic catalogue for Letter purchasing decision, consumers also hunger for consumer reviews to identify the best products that fit their preferences. For example, a professional photographer would like to identify a camera with lens of high quality and zooming power but a general user may like to find a camera that is cheap, light, and with a large LCD screen. When consumers take consumer reviews as reference, they are interested in both opinion orientation and product features that they are describing. Most of the prior works on consumer opinions mining focus on identifying opinion orientation. Some recent works have started to classify product features but heavily rely on linguistic and natural language processing techniques. However, the writing in consumer reviews is usually less formal and many of them do not conform to the grammatical rules. Therefore, the linguistic and language processing approach is not satisfactory. In this work, we propose a sentiment analysis system to classify product features of consumer reviews by mining class association rules. The experimental result shows that the performance is promising. The content mining approach outperforms the natural language processing approach.
Metrics
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Details
- Title
- Mining consumer opinions from the Web
- Creators
- Christopher C. Yang - Drexel UniversityY. C. Wong
- Contributors
- J Cordeiro (Editor)J Filipe (Editor)S Hammoudi (Editor)
- Publication Details
- WEBIST 2008: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2
- Conference
- WEBIST 2008: 4TH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGIES, 4th
- Publisher
- Insticc-Inst Syst Technologies Information Control & Communication
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991019170137404721
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Web of Science research areas
- Business
- Computer Science, Hardware & Architecture
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Information Science & Library Science
- Social Issues