Taking the pulse of the web : assessing sentiment on topics in online media

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Title: Taking the pulse of the web : assessing sentiment on topics in online media
Authors: Brew, Anthony
Greene, Derek
Cunningham, Pádraig
Permanent link: http://hdl.handle.net/10197/2091
Date: 26-Apr-2010
Abstract: The task of identifying sentiment trends in the popular media has long been of interest to analysts and pundits. Until recently, this task has required professional annotators to manually inspect individual articles in order to identify their polarity. With the increased availability of large volumes of online news content via syndicated feeds, researchers have begun to examine ways to automate aspects of this process. In this work, we describe a sentiment analysis system that uses crowdsourcing to gather non-expert annotations for economic news articles. By using these annotations in conjunction with a supervised machine learning strategy, we can generalize to label a much larger set of articles, allowing us to effectively track sentiment in different news sources over time.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: WebSci
Keywords: Sentiment analysis;Machine learning;Crowdsourcing;Social media;Online news
Subject LCSH: Mass media criticism--Data processing
Machine learning
Social media
News Web sites
Language: en
Status of Item: Peer reviewed
Is part of: Proceedings of the WebSci10: Extending the Frontiers of Society On-Line, April 26-27th, 2010, Raleigh, NC
Conference Details: Poster presented at Web Science Conference 2010 (WebSci10): Extending the Frontiers of Society On-Line, April 26-27th, 2010, Raleigh, North Carolina
Appears in Collections:Computer Science Research Collection

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