Type

Conference Proceedings

Authors

Alan F. Smeaton
Adam Bermingham

Subjects

Computer Science

Topics
data and web mining data information computational linguistics information retrieval real time web machine learning world sentiment analysis

Crowdsourced real-world sensing: sentiment analysis and the real-time web (2010)

Abstract The advent of the real-time web is proving both challeng- ing and at the same time disruptive for a number of areas of research, notably information retrieval and web data mining. As an area of research reaching maturity, sentiment analysis oers a promising direction for modelling the text content available in real-time streams. This paper reviews the real-time web as a new area of focus for sentiment analysis and discusses the motivations and challenges behind such a direction.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: CLARITY: The Centre for Sensor Web Technologies
Ireland -> Dublin City University -> Subject = Computer Science: Computational linguistics
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval
Ireland -> Dublin City University -> Subject = Computer Science: Machine learning
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Alan F. Smeaton, Adam Bermingham

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 475
 
2
Adam Bermingham
Dublin City University
Total Publications: 15