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Fine-Grained Opinion Analysis

Fine-Grained Opinion Analysis aims to: (i) detect opinion expressions that convey attitudes such as sentiments, agreements, beliefs, or intentions, (ii) measure their intensity, (iii) identify their holders i.e. entities that express an attitude, (iv) identify their targets i.e. entities or propositions at which the attitude is directed, and (v) classify their target-dependent attitude.

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Papers

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Showing 11–19 of 19 papers

TitleStatusHype
Annotating Targets of Opinions in Arabic using Crowdsourcing—0
On the Proper Treatment of Quantifiers in Probabilistic Logic Semantics—0
Opinion Mining with Deep Recurrent Neural Networks—0
Joint Modeling of Opinion Expression Extraction and Attribute Classification—0
Why Words Alone Are Not Enough: Error Analysis of Lexicon-based Polarity Classifier for Czech—0
Mining Fine-grained Opinion Expressions with Shallow Parsing—0
Joint Inference for Fine-grained Opinion Extraction—0
Relational Features in Fine-Grained Opinion Analysis—0
Extracting Opinion Expressions with semi-Markov Conditional Random Fields—0
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