International audienceThis paper presents a logical formalization of a set 20 semantic categories related to opinion, emotion and sentiment. Our formalization is based on the BDI model (Belief, Desire and Intetion) and constitues a first step toward a unifying model for subjective information extraction. The separability of the subjective classes that we propose was assessed both formally and on two subjective reference corpora
SenticNet is currently one of the most comprehensive freely available semantic resources for opinion...
The cornerstone for any sentiment analysis research is labeled data and its acquisition. Canonical c...
Idioms are multi-word expressions which hold a literal and figurative meaning which is conventionall...
This paper presents a logical formalization of a set 20 semantic categories related to opinion, emot...
"Sentiment", "opinion" and "emotion" are words really vaguely defined; not even the dictionary seems...
"Sentiment", "opinion" and "emotion" are words really vaguely defined; not even the dictionary seems...
Sentiment analysis evaluates writers' opinions based on pivot items extracted from text. These items...
Web 2.0 and social media enable people to create, share and discover information instantly anywhere,...
This paper presents a lexicon model for the description of verbs, nouns and adjectives to be used in...
Affective Computing (AC) is an emerging area of research that aims to develop intelligent computer s...
With the proliferation of social media, textual emotion analysis is becoming increasingly important....
Capturing the sentiments and the emotional states enclosed in textual information is a critical task...
Sentiment analysis is used to mine text data from many sources, including blogs, support forums, and...
Emotions and sentiments play a crucial role in our everyday lives. They aid decision-making, learni...
Sentiments are positive and negative emotions, evaluations and stances. This dissertation focuses on...
SenticNet is currently one of the most comprehensive freely available semantic resources for opinion...
The cornerstone for any sentiment analysis research is labeled data and its acquisition. Canonical c...
Idioms are multi-word expressions which hold a literal and figurative meaning which is conventionall...
This paper presents a logical formalization of a set 20 semantic categories related to opinion, emot...
"Sentiment", "opinion" and "emotion" are words really vaguely defined; not even the dictionary seems...
"Sentiment", "opinion" and "emotion" are words really vaguely defined; not even the dictionary seems...
Sentiment analysis evaluates writers' opinions based on pivot items extracted from text. These items...
Web 2.0 and social media enable people to create, share and discover information instantly anywhere,...
This paper presents a lexicon model for the description of verbs, nouns and adjectives to be used in...
Affective Computing (AC) is an emerging area of research that aims to develop intelligent computer s...
With the proliferation of social media, textual emotion analysis is becoming increasingly important....
Capturing the sentiments and the emotional states enclosed in textual information is a critical task...
Sentiment analysis is used to mine text data from many sources, including blogs, support forums, and...
Emotions and sentiments play a crucial role in our everyday lives. They aid decision-making, learni...
Sentiments are positive and negative emotions, evaluations and stances. This dissertation focuses on...
SenticNet is currently one of the most comprehensive freely available semantic resources for opinion...
The cornerstone for any sentiment analysis research is labeled data and its acquisition. Canonical c...
Idioms are multi-word expressions which hold a literal and figurative meaning which is conventionall...