SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Cluster ensembles --- a knowledge reuse framework for combining multiple partitions
The Journal of Machine Learning Research
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
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
PageRank on semantic networks, with application to word sense disambiguation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Negation, contrast and contradiction in text processing
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
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In this paper we address the problem of identifying contradictions by opinion mining across documents. Our approach involves opinion extraction and storage by processing natural language documents such as reviews, news etc. and aims the identification of contradictory opinions related to the same target expressed by the same holder or by different holders. By matching the structured representations of opinions we identify a potential inconsistency occurring in two documents that is signaled and further analysis is applied to confirm/infirm the contradiction. Moreover, communities are detected both on individual opinions and social data. Thus, the (in)consistency might be tracked for the holder as a member of a community, as well as for the holder as an individual. We addressed scalability by designing a cloud-based storage infrastructure and an efficient indexing system that allows for fast retrieval and matching of structured representations.