Heutzutage gibt es eine unüberschaubare Anzahl von Medien mit enorm vielen Artikeln und Beiträgen. Da in ihnen neben vielen anderen potenziell nützlichen Informationen wertvolle Meinungen zu Themen enthalten sind, ist eine automatische Beobachtung dieser Medien sehr interessant, birgt aber zwei große Herausforderungen: eine automatisierte Tonalitätsbestimmung (Opinion Mining) kombiniert mit ein...

-Opinion feature extraction is a sub problem of opinion mining analyzed at document, sentence, or even phrase (word) levels. Document-level (sentence-level) opinion mining is classified as overall subjectivity or sentiment, expressed in an individual review document. The existing approaches to opinion feature extraction depended on mining patterns from a particular evaluate corpus disregard non...

This paper describes our participation in Blog Opinion Retrieval task this year. We conduct experiments on “FirteX” platform that is developed by our lab. Language Model is used to retrieve related blog unit. Interactive Knowledge is adopted to expand query for retrieve blog unit include opinion. Then we introduce a novel extracting technology to extract text from retrieved blog-post. Finally, ...

In this paper we describe our system, experiments and results from our participation in the Blog Track at TREC 2008. Dublin City University participated in the adhoc retrieval, opinion finding and polarised opinion finding tasks. For opinion finding, we used a fusion of approaches based on lexicon features, surface features and syntactic features. Our experiments evaluated the relative usefulne...

Introduction. Opinion mining has been receiving increasing attention from a broad range of scientific communities since early 2000s. The present study aims to systematically investigate the intellectual structure of opinion mining research. Method. Using topic search, citation expansion, and patent search, we collected 5,596 bibliographic records of opinion mining research. Then, intellectual l...