Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Movie review mining and summarization
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Rated aspect summarization of short comments
Proceedings of the 18th international conference on World wide web
Measuring the descriptiveness of web comments
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Sentiment summarization: evaluating and learning user preferences
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Towards comment-based cross-media retrieval
Proceedings of the 19th international conference on World wide web
Improvements of webometrics by using sentiment analysis for better accessibility of the web
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
IssueGalaxy: interactive visualizing tools for the current issues in an internet discussion site
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Information Retrieval in the Commentsphere
ACM Transactions on Intelligent Systems and Technology (TIST)
WikiSent: weakly supervised sentiment analysis through extractive summarization with wikipedia
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Extractive summarisation via sentence removal: condensing relevant sentences into a short summary
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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All kinds of Web sites invite visitors to provide feedback on comment boards. Typically, submitted comments are published immediately on the same page, so that new visitors can get an idea of the opinions of previous visitors. Popular multimedia items, such as videos and images, frequently get up to thousands of comments, which is too much to be read in reasonable time. I.e., visitors read, if at all, only the newest comments and hence get an incomplete and possibly misleading picture of the overall opinion. To address this issue we introduce OPINIONCLOUD, a technology to summarize and visualize opinions that are expressed in the form of Web comments.