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Linguistic ethnography: Identifying dominant word classes in text

Abstract:

In this paper, we propose a method for "linguistic ethnography" - a general mechanism for characterising texts with respect to the dominance of certain classes of words. Using humour as a case study, we explore the automatic learning of salient word classes, including semantic classes (e.g., person, animal), psycholinguistic classes (e.g., tentative, cause), and affective load (e.g., anger, happiness).We measure the reliability of the derived word classes and their associated dominance scores...

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Journal:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume:
5449 LNCS
Pages:
594-602
Publication date:
2009-01-01
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
URN:
uuid:3ac34b3d-2365-4c7d-bb38-e8c20013db7e
Source identifiers:
328870
Local pid:
pubs:328870
Language:
English

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