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SICS at NTCIR-7 MOAT: constructions represented in parallel with lexical items
Swedish Institute of Computer Science.
Swedish Institute of Computer Science.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
2008 (English)In: Proceedings of NTCIR-7 Workshop Meeting, 2008Conference paper (Other academic)
Abstract [en]

This paper describes experiments to use non-terminological information to find attitudinal expressions in written English text. The experiments are based on an analysis of text with respect to not only the vocabulary of content terms present in it (which most other approaches use as a basis for analysis) but also with respect to presence of structural features of the text represented by constructional features (typically disregarded by most other analyses). In our analysis, following a construction grammar framework, structural features are treated as occurrences, similarly to the treatment of vocabulary features. The constructional features in play are chosen to potentially signify opinion but are not specific to negative or positive expressions. The framework is used to classify clauses, headlines, and sentences from three different shared collections of attitudinal data. We find that constructional features transfer well across different text collections and that the information couched in them integrates easily with a vocabulary based approach, yielding improvements in classification without complicating the application end of the processing framework.

Place, publisher, year, edition, pages
Keyword [en]
Opinion mining, Sentiment Analysis
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
URN: urn:nbn:se:uu:diva-120416OAI: oai:DiVA.org:uu-120416DiVA: diva2:303305
The 7th NTCIR Workshop (2007/2008) - Evaluation of Information Access Technologies
Available from: 2010-03-11 Created: 2010-03-11 Last updated: 2011-03-21Bibliographically approved

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