We identify and validate from a large corpus constraints from conjunctions on the positive or negative semantic orientation of the conjoined adjectives. A log-linear regression model uses these constraints to predict whether conjoined adjectives are of same or different orientations, achieving 82% accuracy in this task when each conjunction is considered independently
En el presente trabajo mostramos la metodología utilizada para la construcción de un lexicón en ingl...
Obtaining norm scores for subjective properties of words can be quite cumbersome as it requires a co...
The field of opinion mining has emerged in recent years as an exciting challenge for computational l...
This paper introduces a method for inferring the semantic orientation of a word from its statistical...
The evaluative character of a word is called its semantic orientation. Positive semantic orientation...
Subjectivity is a pragmatic, sentence-level feature that has important implications for text process...
Subjectivity is a pragmatic, sentence-level feature that has important implications for text process...
The evaluative character of a word is called its semantic orientation. A positive semantic orientati...
Current WordNet-based measures of distance or similarity focus almost exclusively on WordNet's ...
Subjectivity tagging is distinguishing sentences used to present opinions and evaluations from sente...
electronic version (10 pp.)International audienceWeb users produce more and more documents expressin...
This work was mainly supported by two funds, i.e., 0704021000 and 60803085, and one another project,...
Learning word alignments between parallel sentence pairs is an important task in Statistical Machine...
We propose the weakly supervised \emph{Multi-Experts Model} (MEM) for analyzing the semantic orienta...
We describe and compare different methods for creating a dictionary of words with their correspondin...
En el presente trabajo mostramos la metodología utilizada para la construcción de un lexicón en ingl...
Obtaining norm scores for subjective properties of words can be quite cumbersome as it requires a co...
The field of opinion mining has emerged in recent years as an exciting challenge for computational l...
This paper introduces a method for inferring the semantic orientation of a word from its statistical...
The evaluative character of a word is called its semantic orientation. Positive semantic orientation...
Subjectivity is a pragmatic, sentence-level feature that has important implications for text process...
Subjectivity is a pragmatic, sentence-level feature that has important implications for text process...
The evaluative character of a word is called its semantic orientation. A positive semantic orientati...
Current WordNet-based measures of distance or similarity focus almost exclusively on WordNet's ...
Subjectivity tagging is distinguishing sentences used to present opinions and evaluations from sente...
electronic version (10 pp.)International audienceWeb users produce more and more documents expressin...
This work was mainly supported by two funds, i.e., 0704021000 and 60803085, and one another project,...
Learning word alignments between parallel sentence pairs is an important task in Statistical Machine...
We propose the weakly supervised \emph{Multi-Experts Model} (MEM) for analyzing the semantic orienta...
We describe and compare different methods for creating a dictionary of words with their correspondin...
En el presente trabajo mostramos la metodología utilizada para la construcción de un lexicón en ingl...
Obtaining norm scores for subjective properties of words can be quite cumbersome as it requires a co...
The field of opinion mining has emerged in recent years as an exciting challenge for computational l...