Combined analysis of news and Twitter messages

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Du , M , Kangasharju , J , Karkulahti , O , Pivovarova , L & Yangarber , R 2013 , Combined analysis of news and Twitter messages . in Proceedings of the Joint Workshop on NLP &LOD and SWAIE : SemanticWeb, Linked Open Data and Information Extraction . Hissar , pp. 41-48 , RANLP 2013 Workshop on Semantic Web and Information Extraction , Hissar , Bulgaria , 13/09/2013 . < >

Title: Combined analysis of news and Twitter messages
Author: Du, Mian; Kangasharju, Jussi; Karkulahti, Ossi; Pivovarova, Lidia; Yangarber, Roman
Contributor organization: Department of Computer Science
Date: 2013
Language: eng
Number of pages: 8
Belongs to series: Proceedings of the Joint Workshop on NLP&LOD and SWAIE
ISBN: 978-954-452-025-0
Abstract: While it is widely recognized that streams of social media messages contain valuable information, such as important trends in the users’ interest in consumer products and markets, uncovering such trends is problematic, due to the extreme volumes of messages in such media. In the case Twitter messages, following the interest in relation to all known products all the time is technically infeasible. IE narrows topics to search. In this paper, we present experiments on using deeper NLP-based processing of product-related events mentioned in news streams to restrict the volume of tweets that need to be considered, to make the problem more tractable. Our goal is to analyze whether such a combined approach can help reveal correlations and how they may be captured.
Subject: 113 Computer and information sciences
social media
Information Extraction
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: publishedVersion

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