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dc.contributor.authorAhmad, Khurshiden
dc.contributor.authorDevitt, Annen
dc.date.accessioned2008-12-04T17:20:58Z
dc.date.available2008-12-04T17:20:58Z
dc.date.created28-30 Mayen
dc.date.issued2008en
dc.date.submitted2008en
dc.identifier.citationAnn Devitt and Khurshid Ahmad, Sentiment Analysis and the Use of Extrinsic Datasets in Evaluation, Language Resources and Evaluation Conference (LREC 2008), Marrakech, Morocco, 28-30 May, 2008en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/25730
dc.descriptionPUBLISHEDen
dc.descriptionMarrakech, Moroccoen
dc.description.abstractThe field of automated sentiment analysis has emerged in recent years as an exciting challenge to the computational linguistics community. Research in the field investigates how emotion, bias, mood or affect is expressed in language and how this can be recognised and represented automatically. To date, the most successful applications have been in the classification of product reviews and editorials. This paper aims to open a discussion about alternative evaluation methodologies for sentiment analysis systems that broadens the scope of this new field to encompass existing work in other domains such as psychology and to exploit existing resources in diverse domains such as finance or medicine. We outline some interesting avenues for research which investigate the impact of affective text content on the human psyche and on external factors such as stock markets.en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.rightsYen
dc.subjectsentiment analysisen
dc.subjectfinancial sentimenten
dc.subjectevaluationen
dc.titleSentiment Analysis and the Use of Extrinsic Datasets in Evaluationen
dc.title.alternativeLanguage Resources and Evaluation Conference (LREC 2008)en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/devittanen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/kahmaden
dc.identifier.rssinternalid54150en


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