For fine-grained sentiment analysis, we need to go beyond zero-one polarity and find a way to compare adjectives (syn-onyms) that share the same sense. Choice of a word from a set of synonyms, pro-vides a way to select the exact polarity-intensity. For example, choosing to de-scribe a person as benevolent rather than kind1 changes the intensity of the expres-sion. In this paper, we present a sense based lexical resource, where synonyms are as-signed intensity levels, viz., high, medium and low. We show that the measure P (s|w) (probability of a sense s given the word w) can derive the intensity of a word within the sense. We observe a statis-tically significant positive correlation be-tween P (s|w) and intensity of synonyms for three langua...
In this paper we focus on the creation of general-purpose (as opposed to domain-specific) polarity l...
In this thesis we explore the intensity of adjectives and how it can be predicted by different word ...
Abstract—Polarity classification of words is important for applications such as Opinion Mining and S...
For fine-grained sentiment analysis, we need to go beyond zero-one polarity and find a way to compar...
We put forward the hypothesis that high-accuracy sentiment analysis is only pos-sible if word senses...
Sentiment prediction from Twitter is of the utmost interest for research and commercial organization...
We compare several different corpus- based and lexicon-based methods for the scalar ordering of adje...
Subjective language detection is one of the most important challenges in Sentiment Analysis. Because...
With recent developments in web technologies, percentage web content in Hindi is growing up at a lig...
Automatically identifying the sentiment polarity of words is a very important task that has been use...
The field of opinion mining has emerged in recent years as an exciting challenge for computational l...
Abstract. Determining polarity of words is an important task in sentiment anal-ysis with application...
Many automatic opinion mining methods make use of a lexicon in which each word is associated with a ...
In this paper we focus on the creation of general-purpose (as opposed to domain-specific) polarity l...
Currently, sentiment analysis into positive or negative getting more attention from the researchers....
In this paper we focus on the creation of general-purpose (as opposed to domain-specific) polarity l...
In this thesis we explore the intensity of adjectives and how it can be predicted by different word ...
Abstract—Polarity classification of words is important for applications such as Opinion Mining and S...
For fine-grained sentiment analysis, we need to go beyond zero-one polarity and find a way to compar...
We put forward the hypothesis that high-accuracy sentiment analysis is only pos-sible if word senses...
Sentiment prediction from Twitter is of the utmost interest for research and commercial organization...
We compare several different corpus- based and lexicon-based methods for the scalar ordering of adje...
Subjective language detection is one of the most important challenges in Sentiment Analysis. Because...
With recent developments in web technologies, percentage web content in Hindi is growing up at a lig...
Automatically identifying the sentiment polarity of words is a very important task that has been use...
The field of opinion mining has emerged in recent years as an exciting challenge for computational l...
Abstract. Determining polarity of words is an important task in sentiment anal-ysis with application...
Many automatic opinion mining methods make use of a lexicon in which each word is associated with a ...
In this paper we focus on the creation of general-purpose (as opposed to domain-specific) polarity l...
Currently, sentiment analysis into positive or negative getting more attention from the researchers....
In this paper we focus on the creation of general-purpose (as opposed to domain-specific) polarity l...
In this thesis we explore the intensity of adjectives and how it can be predicted by different word ...
Abstract—Polarity classification of words is important for applications such as Opinion Mining and S...