Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Identifying commented passages of documents using implicit hyperlinks
Proceedings of the seventeenth conference on Hypertext and hypermedia
Movie review mining and summarization
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Comments-oriented blog summarization by sentence extraction
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
The ESA retrieval model revisited
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Finding the best picture: cross-media retrieval of content
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Towards comment-based cross-media retrieval
Proceedings of the 19th international conference on World wide web
eduKEN: a tool for fine-grained video comment collection and analysis
Proceedings of the 19th international conference on World wide web
Opinion summarization of web comments
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Information Retrieval in the Commentsphere
ACM Transactions on Intelligent Systems and Technology (TIST)
Diversifying user comments on news articles
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
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This paper investigates whether Web comments are of descriptive nature, that is, whether the combined text of a set of comments is similar in topic to the commented object. If so, comments may be used in place of the respective object in all kinds of cross-media retrieval tasks. Our experiments reveal that comments on textual objects are indeed descriptive: 10 comments suffice to expect a high similarity between the comments and the commented text; 100-500 comments suffice to replace the commented text in a ranking task, and to measure the contribution of the commenters beyond the commented text.