GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Automatically collecting, monitoring, and mining japanese weblogs
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Trust network-based filtering of aggregated claims
International Journal of Metadata, Semantics and Ontologies
Opinion sentence search engine on open-domain blog
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Collecting evaluative expressions for opinion extraction
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Detecting search engine spam from a trackback network in blogspace
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Scanning objects in the wild: assessing an object triggered information system
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
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In this paper, we introduce a mobile service that extracts reputations of a product from weblogs by cellular phones during shopping. In a mobile computing environment, it would be desirable for users to bind their real-world situation and useful information on the internet. However, the current typical devices for mobile computing, such as cellular phones, have small displays, limited operations, and narrow-band network. Thus, semantics can be useful in order to extract only the necessary information depending on the users' situation. Word-Of-Mouth (WOM) Scouter is an application for this purpose. If the user takes a photo of a product barcode on the package with a cellular phone camera, WOM Scouter first gets the product metadata (name, manufacturer, etc.) from the internet and collects blogs that review the product. Also, it analyses the blog contents with NLP techniques and ontologies. Then, it indicates the overall reputation (positive or negative), and other related products that are the subject of much discussion in the blogs. This paper illustrates each function of this service and a public experiment and evaluation at a real consumer electronics store and book-store in Tokyo in March 2006. This is a case of semantics use to provide an instant benefit in a mobile computing environment.