Bermingham, Adam and Smeaton, Alan F. 
ORCID: 0000-0003-1028-8389
(2010)
Crowdsourced real-world sensing: sentiment analysis and the real-time web.
In: AICS 2010 - Sentiment Analysis Workshop at Artificial Intelligence and Cognitive Science, 30 August - 1 September 2010, Galway, Ireland.
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.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Workshop |
| Refereed: | Yes |
| Uncontrolled Keywords: | sentiment analysis; |
| Subjects: | Computer Science > Computational linguistics Computer Science > Machine learning Computer Science > Information retrieval |
| DCU Faculties and Centres: | Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies |
| Official URL: | http://aics.nuigalway.ie/schedule.html |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| Funders: | Science Foundation Ireland |
| ID Code: | 15585 |
| Deposited On: | 03 Sep 2010 10:38 by Adam Bermingham . Last Modified 31 Oct 2018 13:23 |
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