Sentiment analysis predicts a one-dimensional quantity describing the positive or negative emotion of an author. Mood analysis extends the one-dimensional sentiment response to a multi-dimensional quantity, describing a diverse set of human emotions. In this paper, we extend sentiment and mood analysis temporally and model emotions as a function of time based on temporal streams of blog posts authored by a specific author. The model is useful for constructing predictive models and discovering scientific models of human emotions
Despite the broad interest and use of sentiment analysis nowadays, most of the conclusions in curren...
We present a large-scale mood analysis in social media texts. We organise the paper in three parts: ...
Affect-adaptive systems have the potential to assist users that experience systematically negative m...
Significant world events often cause the behavioral convergence of the expression of shared sentimen...
Abstract—Many of today’s online news websites have enabled users to specify different types of emoti...
A convergence of emotions among people in social networks is potentially resulted by the occurrence ...
AbstractSentiment analysis or opinion mining is the process of computationally identifying and categ...
The personal, diary-like nature of blogs prompts many bloggers to indicate their mood at the time of...
\u3cp\u3eA smart environment designed to adapt to a user's affective state should be able to deciphe...
Abstract In an ambience designed to adapt to the user’s affective state, pervasive technology should...
Using a total of 20 million mood-annotated blog posts harvested between June 2005 and March 2006, we...
The way users interact on social media can indicate their well-being. When depressed, people’...
Mental health affects all aspects of people's lives, yet it remains difficult to obtain accurate dat...
We perform a sentiment analysis of all tweets published on the microblogging platform Twitter in the...
Background. Emotions are both idiographic (i.e., idiosyncratic, experienced within the individual) a...
Despite the broad interest and use of sentiment analysis nowadays, most of the conclusions in curren...
We present a large-scale mood analysis in social media texts. We organise the paper in three parts: ...
Affect-adaptive systems have the potential to assist users that experience systematically negative m...
Significant world events often cause the behavioral convergence of the expression of shared sentimen...
Abstract—Many of today’s online news websites have enabled users to specify different types of emoti...
A convergence of emotions among people in social networks is potentially resulted by the occurrence ...
AbstractSentiment analysis or opinion mining is the process of computationally identifying and categ...
The personal, diary-like nature of blogs prompts many bloggers to indicate their mood at the time of...
\u3cp\u3eA smart environment designed to adapt to a user's affective state should be able to deciphe...
Abstract In an ambience designed to adapt to the user’s affective state, pervasive technology should...
Using a total of 20 million mood-annotated blog posts harvested between June 2005 and March 2006, we...
The way users interact on social media can indicate their well-being. When depressed, people’...
Mental health affects all aspects of people's lives, yet it remains difficult to obtain accurate dat...
We perform a sentiment analysis of all tweets published on the microblogging platform Twitter in the...
Background. Emotions are both idiographic (i.e., idiosyncratic, experienced within the individual) a...
Despite the broad interest and use of sentiment analysis nowadays, most of the conclusions in curren...
We present a large-scale mood analysis in social media texts. We organise the paper in three parts: ...
Affect-adaptive systems have the potential to assist users that experience systematically negative m...