Add to ORKGOne of the goals of affective computing is to recognize human emotions. We present a system that learns to recognize emotions based on textual resources and test it on a large number of blog entries tagged with moods by their authors. We show how a machine-learning approach can be used to gain insight into the way writers convey and interpret their own emotions, and provide nuanced mood associations for a large wordlist
LNCS v. 7299 entitled: Pacific Asia Workshop, PAISI 2012 ... ProceedingsNowadays, people are familia...
We demonstrate a system for tracking and analyzing moods of bloggers worldwide, as reflected in the ...
Many common events in our daily life affect us in positive and negative ways. For example, going o...
Sentiment analysis is a field of computational linguistics involving identification, ex-traction, an...
Abstract. As an effort to detect the mood of a blog, regardless of the length and writing style, we ...
The personal, diary-like nature of blogs prompts many bloggers to indicate their mood at the time of...
People\u27s emotions can be gleaned from their text using machine learning techniques to build model...
Abstract. Automatic data-driven analysis of mood from text is an emerging problem with many potentia...
Automatic data-driven analysis of mood from text is anemerging problem with many potential applicati...
Mood classification for blogs is useful in helping user-to-agent interaction for a variety of applic...
Mood classification for blogs is useful in helping user-to-agent interaction for a variety of applic...
We describe a method for discovering irregularities in temporal mood patterns appearing in a large c...
Emotions are part and parcel of human life and among other things, highly influence decision making....
We present a large-scale mood analysis in social media texts. We organise the paper in three parts: ...
The personal, diary-like nature of blogs prompts many blog-gers to indicate their mood at the time o...
LNCS v. 7299 entitled: Pacific Asia Workshop, PAISI 2012 ... ProceedingsNowadays, people are familia...
We demonstrate a system for tracking and analyzing moods of bloggers worldwide, as reflected in the ...
Many common events in our daily life affect us in positive and negative ways. For example, going o...
Sentiment analysis is a field of computational linguistics involving identification, ex-traction, an...
Abstract. As an effort to detect the mood of a blog, regardless of the length and writing style, we ...
The personal, diary-like nature of blogs prompts many bloggers to indicate their mood at the time of...
People\u27s emotions can be gleaned from their text using machine learning techniques to build model...
Abstract. Automatic data-driven analysis of mood from text is an emerging problem with many potentia...
Automatic data-driven analysis of mood from text is anemerging problem with many potential applicati...
Mood classification for blogs is useful in helping user-to-agent interaction for a variety of applic...
Mood classification for blogs is useful in helping user-to-agent interaction for a variety of applic...
We describe a method for discovering irregularities in temporal mood patterns appearing in a large c...
Emotions are part and parcel of human life and among other things, highly influence decision making....
We present a large-scale mood analysis in social media texts. We organise the paper in three parts: ...
The personal, diary-like nature of blogs prompts many blog-gers to indicate their mood at the time o...
LNCS v. 7299 entitled: Pacific Asia Workshop, PAISI 2012 ... ProceedingsNowadays, people are familia...
We demonstrate a system for tracking and analyzing moods of bloggers worldwide, as reflected in the ...
Many common events in our daily life affect us in positive and negative ways. For example, going o...