Add to ORKGIn this paper, we show how sentiment analysis can be used in tandem with effective visualizations to quantify and track emotions in mail and books. We study a number of specific datasets and show, among other things, how collections of texts can be organized for affect-based search and how books portray different entities through co-occurring emotion words. Analysis of the Enron Email Corpus reveals that there are marked differences across genders in how they use emotion words in work-place email. Finally, we show that fairy tales have more extreme emotion densities than novels
Reading is not only a recreational activity; it also shapes the emotional and cognitive competences ...
Text, either online or offline can be presented in two different writing styles: formal and informal...
Sentiment Analysis is probably one of the best-known area in text mining. However, in recent years, ...
In this paper, we show how sentiment analysis can be used in tandem with effective visualizations to...
With the widespread usage of email, we now have access to unprecedented amounts of text that we ours...
With the widespread use of email, we now have access to unprecedented amounts of text that we oursel...
Today we have access to unprecedented amounts of literary texts. However, search still relies heavil...
Sentiment analysis research has acquired a growing importance due to its applications in several dif...
Emotions are a crucial part of compelling narratives: literature tells us about ...
Unlike sentiment analysis which detects positive, negative, or neutral sentences, textual affect sen...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. An EA system can be...
A number of prior research have revealed that emotion and literature intertwine with each other duri...
Emotions in Literature ## Description Literature sentences from [Project Gutenberg](https://www.gut...
This survey describes recent works in the field of Emotion Detection from text, being a part of the ...
People express emotions as part of everyday communication. Emotions can be judged by a combination o...
Reading is not only a recreational activity; it also shapes the emotional and cognitive competences ...
Text, either online or offline can be presented in two different writing styles: formal and informal...
Sentiment Analysis is probably one of the best-known area in text mining. However, in recent years, ...
In this paper, we show how sentiment analysis can be used in tandem with effective visualizations to...
With the widespread usage of email, we now have access to unprecedented amounts of text that we ours...
With the widespread use of email, we now have access to unprecedented amounts of text that we oursel...
Today we have access to unprecedented amounts of literary texts. However, search still relies heavil...
Sentiment analysis research has acquired a growing importance due to its applications in several dif...
Emotions are a crucial part of compelling narratives: literature tells us about ...
Unlike sentiment analysis which detects positive, negative, or neutral sentences, textual affect sen...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. An EA system can be...
A number of prior research have revealed that emotion and literature intertwine with each other duri...
Emotions in Literature ## Description Literature sentences from [Project Gutenberg](https://www.gut...
This survey describes recent works in the field of Emotion Detection from text, being a part of the ...
People express emotions as part of everyday communication. Emotions can be judged by a combination o...
Reading is not only a recreational activity; it also shapes the emotional and cognitive competences ...
Text, either online or offline can be presented in two different writing styles: formal and informal...
Sentiment Analysis is probably one of the best-known area in text mining. However, in recent years, ...