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613
Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews
, 2003
"... The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, generating a list of product attributes (quality, features, etc.) and aggregating opinions about each of them (poor, mixe ..."
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Cited by 453 (0 self)
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The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, generating a list of product attributes (quality, features, etc.) and aggregating opinions about each of them (poor
Extracting product features and opinions from reviews
, 2005
"... Consumers are often forced to wade through many on-line reviews in order to make an informed product choice. This paper introduces OPINE, an unsupervised informationextraction system which mines reviews in order to build a model of important product features, their evaluation by reviewers, and their ..."
Sentiwordnet: A publicly available lexical resource for opinion mining
- In In Proceedings of the 5th Conference on Language Resources and Evaluation (LRECÕ06
, 2006
"... Opinion mining (OM) is a recent subdiscipline at the crossroads of information retrieval and computational linguistics which is concerned not with the topic a document is about, but with the opinion it expresses. OM has a rich set of applications, ranging from tracking users’ opinions about products ..."
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Cited by 376 (5 self)
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products or about political candidates as expressed in online forums, to customer relationship management. In order to aid the extraction of opinions from text, recent research has tried to automatically determine the “PN-polarity ” of subjective terms, i.e. identify whether a term that is a marker
Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences
- In Proceedings of EMNLP-03
, 2003
"... Opinion question answering is a challenging task for natural language processing. In this paper, we discuss a necessary component for an opinion question answering system: separating opinions from fact, at both the document and sentence level. We present a Bayesian classifier for discriminating betw ..."
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Cited by 215 (4 self)
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Opinion question answering is a challenging task for natural language processing. In this paper, we discuss a necessary component for an opinion question answering system: separating opinions from fact, at both the document and sentence level. We present a Bayesian classifier for discriminating
Supervised Approaches and Ensemble Techniques for Chinese Opinion Analysis at NTCIR-7. Paper presented at NTCIR-7 Workshop Meeting
, 2008
"... For the opinion analysis task on traditional Chinese texts at NTCIR-7, supervised approaches and ensemble techniques have been used and compared in our participating system. Two kinds of supervised approaches were employed here: 1) the supervised lexicon-based approach, and 2) machine learning appro ..."
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Cited by 1 (0 self)
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classification. The results show that our system achieved state-of-the-art performance on both subtasks: the highest F-measure on the opinionated sentence recognition task and the second highest F-measure on the opinion polarity classification task amongst all runs submitted by seven participants. Furthermore
A SURVEY ON OPINION MINING AND SENTIMENT POLARITY CLASSIFICATION
, 2013
"... In recent years, the exponential increase in the Internet usage and exchange of user’s opinions has become the motivation for Opinion Mining. Due to overwhelming amount of user’s opinions, views, feedbacks and suggestions available through the web resources, it’s very much essential to explore, anal ..."
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techniques, recent advancements and the future research directions in the field of Opinion Mining and Sentiment Polarity Classification.
Lexicon-Based Methods for Sentiment Analysis
"... We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation. SO-CAL is applied to the polarity classific ..."
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Cited by 182 (13 self)
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classification task, the process of assigning a positive or negative label to a text that captures the text’s opinion towards its main subject matter. We show that SO-CAL’s performance is consistent across domains and in completely unseen data. Additionally, we describe the process of dictionary creation
Improve the Effectiveness of the Opinion Retrieval and Opinion Polarity Classification
- In Proc. of CIKM 2008. 7. ACKNOWLEDGEMENTS We acknowledge the support of NSF via the grants: IIS-0842546 and IIS-0842608
"... Opinion retrieval is a document retrieving and ranking process. A relevant document must be relevant to the query and contain opinions toward the query. Opinion polarity classification is an extension of opinion retrieval. It classifies the retrieved document as positive, negative or mixed, accordin ..."
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Cited by 9 (2 self)
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Opinion retrieval is a document retrieving and ranking process. A relevant document must be relevant to the query and contain opinions toward the query. Opinion polarity classification is an extension of opinion retrieval. It classifies the retrieved document as positive, negative or mixed
Opinion Graphs for Polarity and Discourse Classification ∗
"... This work shows how to construct discourse-level opinion graphs to perform a joint interpretation of opinions and discourse relations. Specifically, our opinion graphs enable us to factor in discourse information for polarity classification, and polarity information for discourse-link classification ..."
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Cited by 7 (1 self)
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This work shows how to construct discourse-level opinion graphs to perform a joint interpretation of opinions and discourse relations. Specifically, our opinion graphs enable us to factor in discourse information for polarity classification, and polarity information for discourse
Improve the Effectiveness of the Opinion Retrieval and Opinion Polarity Classification
"... Improve the effectiveness of the opinion retrieval and opinion polarity classification ..."
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Improve the effectiveness of the opinion retrieval and opinion polarity classification
Results 1 - 10
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613
