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CORR
2011
Springer
165views Education» more  CORR 2011»
12 years 8 months ago
Finding Deceptive Opinion Spam by Any Stretch of the Imagination
Consumers increasingly go online to rate, review and research products (Jansen, 2010; Litvin et al., 2008). Consequently, websites containing these reviews are becoming targets of...
Myle Ott, Yejin Choi, Claire Cardie, Jeffrey T. Ha...
NLDB
2010
Springer
13 years 8 months ago
Semantic Content Access Using Domain-Independent NLP Ontologies
We present a lightweight, user-centred approach for document navigation and analysis that is based on an ontology of text mining results. This allows us to bring the result of exis...
René Witte, Ralf Krestel
ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
13 years 9 months ago
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...
IFIPTM
2010
113views Management» more  IFIPTM 2010»
13 years 3 months ago
Impact of Trust Management and Information Sharing to Adversarial Cost in Ranking Systems
Ranking systems such as those in product review sites and recommender systems usually use ratings to rank favorite items based on both their quality and popularity. Since higher ra...
Le-Hung Vu, Thanasis G. Papaioannou, Karl Aberer
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 4 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...