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        <title>Sentiments on a Grid: Analysis of Streaming News and Views</title>
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            <title>Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)</title>
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    <abstract>In this paper we report on constructing a finite state automaton comprising automatically extracted terminology and significant collocation patterns from a training corpus of specialist news (Reuters Financial News). The automaton can be used to unambiguously identify sentiment-bearing words that might be able to make or break people, companies, perhaps even governments. The paper presents the emerging face of corpus linguistics where a corpus is used to bootstrap both the terminology and the significant meaning bearing patterns from the corpus. Much of the current content analysis software systems require a human coder to eyeball terms and sentiment words. Such an approach might yield very good quality results on small text collections but when confronted with a 40-50 million word corpus such an approach does not scale, and a large-scale computer-based approach is required. We report on the use of Grid computing technologies and techniques to cope with this analysis.</abstract>
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%0 Conference Proceedings
%T Sentiments on a Grid: Analysis of Streaming News and Views
%A Ahmad, Khurshid
%A Gillam, Lee
%A Cheng, David
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Gangemi, Aldo
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Tapias, Daniel
%S Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
%D 2006
%8 May
%I European Language Resources Association (ELRA)
%C Genoa, Italy
%F ahmad-etal-2006-sentiments
%X In this paper we report on constructing a finite state automaton comprising automatically extracted terminology and significant collocation patterns from a training corpus of specialist news (Reuters Financial News). The automaton can be used to unambiguously identify sentiment-bearing words that might be able to make or break people, companies, perhaps even governments. The paper presents the emerging face of corpus linguistics where a corpus is used to bootstrap both the terminology and the significant meaning bearing patterns from the corpus. Much of the current content analysis software systems require a human coder to eyeball terms and sentiment words. Such an approach might yield very good quality results on small text collections but when confronted with a 40-50 million word corpus such an approach does not scale, and a large-scale computer-based approach is required. We report on the use of Grid computing technologies and techniques to cope with this analysis.
%U http://www.lrec-conf.org/proceedings/lrec2006/pdf/394_pdf.pdf

Markdown (Informal)

[Sentiments on a Grid: Analysis of Streaming News and Views](http://www.lrec-conf.org/proceedings/lrec2006/pdf/394_pdf.pdf) (Ahmad et al., LREC 2006)

• Sentiments on a Grid: Analysis of Streaming News and Views (Ahmad et al., LREC 2006)

ACL

• Khurshid Ahmad, Lee Gillam, and David Cheng. 2006. Sentiments on a Grid: Analysis of Streaming News and Views. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).