Kevan Buckley
Datos Biográficos
| ID | 7088261 |
|---|---|
| NOMBRE | Kevan Buckley |
| NOMBRES | Kevan |
| APELLIDO | Buckley |
| FIRMA | BUCKLEY K |
| AFILIACIONES | University of Wolverhampton |
| VERIFICADO | No |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2010 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2014 |
| ÍNDICE H | 0 |
Collective Emotions Online
Sentiment strength detection for the social web
Sentiment analysis is concerned with the automatic extraction of sentiment‐related information from text. Although most sentiment analysis addresses commercial tasks, such as extracting opinions from product reviews, there is increasing interest in the affective dimension of the social web, and Twitter in particular. Most sentiment analysis algorithms are not ideally suited to this task because they exploit indirect indicators of sentiment that c…
Sentiment strength detection in short informal text
A huge number of informal messages are posted every day in social network sites, blogs, and discussion forums. Emotions seem to be frequently important in these texts for expressing friendship, showing social support or as part of online arguments. Algorithms to identify sentiment and sentiment strength are needed to help understand the role of emotion in this informal communication and also to identify inappropriate or anomalous affective uttera…
Sentiment in Twitter events
The microblogging site Twitter generates a constant stream of communication, some of which concerns events of general interest. An analysis of Twitter may, therefore, give insights into why particular events resonate with the population. This article reports a study of a month of English Twitter posts, assessing whether popular events are typically associated with increases in sentiment strength, as seems intuitively likely. Using the top 30 even…
Sin obras prominentes en esta página.
Sentiment strength detection in short informal text
A huge number of informal messages are posted every day in social network sites, blogs, and discussion forums. Emotions seem to be frequently important in these texts for expressing friendship, showing social support or as part of online arguments. Algorithms to identify sentiment and sentiment strength are needed to help understand the role of emotion in this informal communication and also to identify inappropriate or anomalous affective uttera…
Sentiment in Twitter events
The microblogging site Twitter generates a constant stream of communication, some of which concerns events of general interest. An analysis of Twitter may, therefore, give insights into why particular events resonate with the population. This article reports a study of a month of English Twitter posts, assessing whether popular events are typically associated with increases in sentiment strength, as seems intuitively likely. Using the top 30 even…
Sentiment strength detection for the social web
Sentiment analysis is concerned with the automatic extraction of sentiment‐related information from text. Although most sentiment analysis addresses commercial tasks, such as extracting opinions from product reviews, there is increasing interest in the affective dimension of the social web, and Twitter in particular. Most sentiment analysis algorithms are not ideally suited to this task because they exploit indirect indicators of sentiment that c…
Collective Emotions Online
Computer Science (4 obras) · Sentiment analysis (4 obras) · World Wide Web (4 obras) · Psychology (3 obras) · Advanced Text Analysis Techniques (2 obras) · Artificial Intelligence (2 obras) · Complex Network Analysis Techniques (2 obras) · Exploit (2 obras) · Misinformation and Its Impacts (2 obras) · Natural language processing (2 obras)