The overall sentiment of a text is critically affected by its discourse structure. For the first time, this paper incorporates hierarchical discourse structure into an unsupervised sentiment analysis framework. Experimental results show that by integrating discourse structure, the performance of sentiment analysis is improved by 1.9% (from 85.1% to 87.0%), demonstrating the effectiveness of exploiting discourse structure for sentiment analysis. ? 2013 IEEE.EI
A corpus is a collection of documents. An annotated corpus consists of documents or entities annotat...
This paper describes the CASOAR corpus, the first manually annotated corpus exploring the im-pact of...
We propose designing a discourse parser specifically for the evaluative text genre. We aim to see wh...
Sentiment analysis has applications in many areas and the exploration of its potential has only just...
Sentiment analysis has applications in many areas and the exploration of its potential has only just...
The aim of this paper is twofold: measuring the effect of discourse structure when assessing the ove...
Automated sentiment analysis has become an active field of study with a broad applicability. One of ...
Automated sentiment analysis has become an active field of study with a broad applicability. One of ...
Dissertação de Mestrado, Processamento de Linguagem Natural e Indústria da Língua, Faculdade de Ciê...
Conventional sentiment analysis usually neglects semantic information between (sub-)clauses, as it m...
Discourse structure is the hidden link be-tween surface features and document-level properties, such...
International audienceThis paper describes the CASOAR corpus, the first manually annotated corpus th...
Multimodal sentiment analysis is a very actively growing field of research. A promising area of oppo...
Previous work by Lin et al. (2011) demonstrated the effectiveness of using discourse relations for e...
In this paper we study the utility of discourse structure for spoken dialogue performance modeling. ...
A corpus is a collection of documents. An annotated corpus consists of documents or entities annotat...
This paper describes the CASOAR corpus, the first manually annotated corpus exploring the im-pact of...
We propose designing a discourse parser specifically for the evaluative text genre. We aim to see wh...
Sentiment analysis has applications in many areas and the exploration of its potential has only just...
Sentiment analysis has applications in many areas and the exploration of its potential has only just...
The aim of this paper is twofold: measuring the effect of discourse structure when assessing the ove...
Automated sentiment analysis has become an active field of study with a broad applicability. One of ...
Automated sentiment analysis has become an active field of study with a broad applicability. One of ...
Dissertação de Mestrado, Processamento de Linguagem Natural e Indústria da Língua, Faculdade de Ciê...
Conventional sentiment analysis usually neglects semantic information between (sub-)clauses, as it m...
Discourse structure is the hidden link be-tween surface features and document-level properties, such...
International audienceThis paper describes the CASOAR corpus, the first manually annotated corpus th...
Multimodal sentiment analysis is a very actively growing field of research. A promising area of oppo...
Previous work by Lin et al. (2011) demonstrated the effectiveness of using discourse relations for e...
In this paper we study the utility of discourse structure for spoken dialogue performance modeling. ...
A corpus is a collection of documents. An annotated corpus consists of documents or entities annotat...
This paper describes the CASOAR corpus, the first manually annotated corpus exploring the im-pact of...
We propose designing a discourse parser specifically for the evaluative text genre. We aim to see wh...