In the latest studies concerning the sentiment polarity of words, the authors mostly consider the positive and negative constructions, without paying too much attention to the neutral words, which can have, in fact, significant sentiment degrees. More precisely, not all the neutral words have zero positivity or negativity scores, some of them having quite important nonzero scores for these polarities. At this moment, in the literature, a word is considered neutral if its positive and negative scores are equal, which implies two possibilities: (1) zero positive and negative scores; (2) nonzero, but equal positive and negative scores. It is obvious that these cases represent two different categories of neutral words that must be treated separ...
This paper presents a survey on the role of negation in sentiment analysis. Negation is a very commo...
Automatically identifying the sentiment polarity of words is a very important task that has been use...
Sentiment analysis is an example of polarity learning. Most research on learning to identify sentime...
In the latest studies concerning the sentiment polarity of words, the authors mostly consider the po...
The field of opinion mining has emerged in recent years as an exciting challenge for computational l...
The sentiment polarity of a phrase does not only depend on the polarities of its words, but also on ...
The sentiment polarity of a phrase does not only depend on the polarities of its words, but also on ...
A key element for decision makers to track is their stakeholders' sentiment. Recent developments sho...
Sentiment analysis aims to extract the sentiment polarity of given segment of text. Polarity resourc...
A key element for decision makers to track is their stakeholders' sentiment. Recent developments sho...
textabstractAs moods and opinions play a pivotal role in various business and economic processes, ke...
Currently, sentiment analysis into positive or negative getting more attention from the researchers....
Alleviating pain is good and abandoning hope is bad. We instinctively understand how words like alle...
Automatically detect in written texts whether a sentence/document is positive, negative or neutral (...
Recent developments in automated sentiment analysis show a tendency of accounting for various aspect...
This paper presents a survey on the role of negation in sentiment analysis. Negation is a very commo...
Automatically identifying the sentiment polarity of words is a very important task that has been use...
Sentiment analysis is an example of polarity learning. Most research on learning to identify sentime...
In the latest studies concerning the sentiment polarity of words, the authors mostly consider the po...
The field of opinion mining has emerged in recent years as an exciting challenge for computational l...
The sentiment polarity of a phrase does not only depend on the polarities of its words, but also on ...
The sentiment polarity of a phrase does not only depend on the polarities of its words, but also on ...
A key element for decision makers to track is their stakeholders' sentiment. Recent developments sho...
Sentiment analysis aims to extract the sentiment polarity of given segment of text. Polarity resourc...
A key element for decision makers to track is their stakeholders' sentiment. Recent developments sho...
textabstractAs moods and opinions play a pivotal role in various business and economic processes, ke...
Currently, sentiment analysis into positive or negative getting more attention from the researchers....
Alleviating pain is good and abandoning hope is bad. We instinctively understand how words like alle...
Automatically detect in written texts whether a sentence/document is positive, negative or neutral (...
Recent developments in automated sentiment analysis show a tendency of accounting for various aspect...
This paper presents a survey on the role of negation in sentiment analysis. Negation is a very commo...
Automatically identifying the sentiment polarity of words is a very important task that has been use...
Sentiment analysis is an example of polarity learning. Most research on learning to identify sentime...