2007
DOI: 10.1002/asi.20735
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Ontology‐supported polarity mining

Abstract: Polarity mining provides an in‐depth analysis of semantic orientations of text information. Motivated by its success in the area of topic mining, we propose an ontology‐supported polarity mining (OSPM) approach. The approach aims to enhance polarity mining with ontology by providing detailed topic‐specific information. OSPM was evaluated in the movie review domain using both supervised and unsupervised techniques. Results revealed that OSPM outperformed the baseline method without ontology support. The finding… Show more

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Cited by 75 publications
(33 citation statements)
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References 41 publications
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“…In addition, RubE is developed on the basis of the lexicosyntactic structure rather than pure heuristics, which overcomes the overfitting and low generality problem of RbMs. Finally, in view of significant challenges of extracting features from the movie domain (Zhou & Chaovalit, 2008), RubE addresses the challenges by demonstrating superior performance (i.e., 81% in F-measure) to alternative methods.…”
Section: Theoretical Implicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, RubE is developed on the basis of the lexicosyntactic structure rather than pure heuristics, which overcomes the overfitting and low generality problem of RbMs. Finally, in view of significant challenges of extracting features from the movie domain (Zhou & Chaovalit, 2008), RubE addresses the challenges by demonstrating superior performance (i.e., 81% in F-measure) to alternative methods.…”
Section: Theoretical Implicationsmentioning
confidence: 99%
“…On a related note, most studies have focused on online reviews of search goods (e.g., electronic products), but omitted those of experience goods. For instance, none of the studies has addressed online movie reviews, which pose a number of unique challenges to feature extraction (Zhou & Chaovalit, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…The sun is very hot). Such sentences are analyzed in order to extract concepts, ontologies or basic positive-negative lists of words (see also Cyc.com) [17,25]. In other cases, resources manually rated such as movies, products or merchant rating available on customer opinion web sites are also often used (CNET, eBay, TripAdvisor, IMDB).…”
Section: Lexicons Generationmentioning
confidence: 99%
“…Seeds [25] have an evident polarity (well, good, bad, …) and are used to collect other connoted words. The criterion used to extend these lists can be the level of proximity with the seeds.…”
Section: Identifying the Polarity Of Wordsmentioning
confidence: 99%
“…More recently, Pang and Lee (2008) and Liu (2012) have conducted extensive surveys of the open challenges in this research area. Opinion mining techniques have been devised and evaluated on many domains, including news stories (Godbole et al 2007), films (Annett and Kondrak 2008;Zhou and Chaovalit 2008), electronic gadgets (Hu and Liu 2004b;Titov and McDonald 2008), and hotels (Pekar and Ou 2008;Ye et al 2009;O'Connor 2010).…”
Section: Overall Sentiment Estimationmentioning
confidence: 99%