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Between Bags and Trees - Constructional Patterns in Text Used for Attitude Identification
Number of Authors: 4
2010 (English)Conference paper (Refereed)
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
2010, 13.
Keyword [en]
NLP for IR, Text Categorization, Clustering, Opinion mining, Sentiment Analysis, Sentiment analysis, Constructional features
National Category
Computer and Information Science
URN: urn:nbn:se:ri:diva-15934OAI: diva2:1037958
ECIR 2010, 32nd European Conference on Information Retrieval
The original publication will be available at www.springerlink.comAvailable from: 2016-10-18 Created: 2016-10-18

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Eriksson, GunnarSahlgren, Magnus
Computer and Information Science

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