Add to ORKGThe `Affective Text` task focuses on the classification of emotions and valence (positive/negative polarity) in news headlines, and is meant as an exploration of the connection between emotions and lexical semantics. In this paper, we describe the data set used in the evaluation and the results obtained by the participating systems
We present the development and evaluation of a semantic analysis task that lies at the intersection ...
In the field of textual affect sensing many methods have been proposed. These methods vary from keyw...
With the proliferation of social media, textual emotion analysis is becoming increasingly important....
The "Affective Text" task focuses on the classification of emotions and valence (positive/negative p...
International audienceFor the Affective Text task at SemEval-2007, University Paris 7's system first...
AbstractThis paper explores the possibility of automatically measuring and comparing affectiveness f...
Unlike sentiment analysis which detects positive, negative, or neutral sentences, textual affect sen...
Emotion classification of text is very important in applications like emotional text-to-speech (TTS)...
Multiple emotions are often triggered in readers in response to text stimuli like news article. In t...
Studying the relationship between natural language and affective information as well as assessing th...
People express emotions as part of everyday communication. Emotions can be judged by a combination o...
This paper presents a text classifier for automatically taggingthe sentiment of input text according...
With the increasing spread of the social web, identifying emotions in texts has proved to have vario...
International audienceWith the increasing spread of the social web, identifying emotions in texts ha...
Abstract. Emotions are reflected both in verbal and written communication. If in the first case they...
We present the development and evaluation of a semantic analysis task that lies at the intersection ...
In the field of textual affect sensing many methods have been proposed. These methods vary from keyw...
With the proliferation of social media, textual emotion analysis is becoming increasingly important....
The "Affective Text" task focuses on the classification of emotions and valence (positive/negative p...
International audienceFor the Affective Text task at SemEval-2007, University Paris 7's system first...
AbstractThis paper explores the possibility of automatically measuring and comparing affectiveness f...
Unlike sentiment analysis which detects positive, negative, or neutral sentences, textual affect sen...
Emotion classification of text is very important in applications like emotional text-to-speech (TTS)...
Multiple emotions are often triggered in readers in response to text stimuli like news article. In t...
Studying the relationship between natural language and affective information as well as assessing th...
People express emotions as part of everyday communication. Emotions can be judged by a combination o...
This paper presents a text classifier for automatically taggingthe sentiment of input text according...
With the increasing spread of the social web, identifying emotions in texts has proved to have vario...
International audienceWith the increasing spread of the social web, identifying emotions in texts ha...
Abstract. Emotions are reflected both in verbal and written communication. If in the first case they...
We present the development and evaluation of a semantic analysis task that lies at the intersection ...
In the field of textual affect sensing many methods have been proposed. These methods vary from keyw...
With the proliferation of social media, textual emotion analysis is becoming increasingly important....