Sentiment analysis has applications in many areas and the exploration of its potential has only just begun. We propose Pathos, a framework which performs document sentiment analysis (partly) based on a document’s discourse structure. We hypothesize that by splitting a text into important and less important text spans, and by subsequently making use of this information by weighting the sentiment conveyed by distinct text spans in accordance with their importance, we can improve the performance of a sentiment classifier. A document’s discourse structure is obtained by applying Rhetorical Structure Theory on sentence level. When controlling for each considered method’s structural bias towards positive classifications, weights optimized by a ge...
Conventional sentiment analysis usually neglects semantic information between (sub-)clauses, as it m...
Sentiment analysis aims to automatically estimate the sentiment in a given text as positive, object...
Dissertação de Mestrado, Processamento de Linguagem Natural e Indústria da Língua, Faculdade de Ciê...
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...
Polarity estimation in large-scale and multi-topic domains is a difficult issue. Most state-of-the-a...
Abstract. Polarity estimation in large-scale and multi-topic domains is a difficult issue. Most stat...
Discourse structure is the hidden link be-tween surface features and document-level properties, such...
Sentiment analysis is the problem of determining the polarity of a text with respect to a particular...
textabstractAs moods and opinions play a pivotal role in various business and economic processes, ke...
The exploitation of structural aspects of content is becoming increasingly popular in rule-based pol...
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 ...
Conventional sentiment analysis usually neglects semantic information between (sub-)clauses, as it m...
Sentiment analysis aims to automatically estimate the sentiment in a given text as positive, object...
Dissertação de Mestrado, Processamento de Linguagem Natural e Indústria da Língua, Faculdade de Ciê...
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...
Polarity estimation in large-scale and multi-topic domains is a difficult issue. Most state-of-the-a...
Abstract. Polarity estimation in large-scale and multi-topic domains is a difficult issue. Most stat...
Discourse structure is the hidden link be-tween surface features and document-level properties, such...
Sentiment analysis is the problem of determining the polarity of a text with respect to a particular...
textabstractAs moods and opinions play a pivotal role in various business and economic processes, ke...
The exploitation of structural aspects of content is becoming increasingly popular in rule-based pol...
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 ...
Conventional sentiment analysis usually neglects semantic information between (sub-)clauses, as it m...
Sentiment analysis aims to automatically estimate the sentiment in a given text as positive, object...
Dissertação de Mestrado, Processamento de Linguagem Natural e Indústria da Língua, Faculdade de Ciê...