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

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.

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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.

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 Initiatives 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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