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Reading between the lines: attitudinal expressions in text
RISE, Swedish ICT, SICS.ORCID iD: 0000-0003-4042-4919
RISE, Swedish ICT, SICS.
RISE, Swedish ICT, SICS.
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Number of Authors: 7
2004 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes how a proposed project will research the expression of attitude, affect, and sentiment in text in order to automatically identify and extract such expressions. The project starting points are a set of hypotheses: + There are syntactic and lexical markers in text such that attitudinal information can be harvested using them; + Players, or discourse referents, in text are one such crucial marker for modeling topicality in general and attitudinal information flow in particular; + Attitudes in texts are dependent on text type and domain; + Attitudinal information can be applied in the development of practical tools for information access, among other application areas; + An extended notion of relevance will afford us with a empirical evaluation model for our theories and experiments.

Place, publisher, year, edition, pages
2004, 1.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-22348OAI: oai:DiVA.org:ri-22348DiVA: diva2:1041893
Conference
AAAI Spring Symposium on Exploring Attitude and Affect in Text, Apr 2004, Stanford, Calif, USA
Note

Published as Technical Report SS-04-07 by The AAAI Press, Menlo Park, California. (ISSN 978-1-57735-219-x)

Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2016-12-29Bibliographically approved

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  • apa
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