Paper Info
Title
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 by showing significant correlation across different corpora.
Year
DOI
Venue
2009
10.1007/978-3-642-00382-0_48
CICLing
Keywords
Field
DocType
identifying dominant word classes,general mechanism,automatic learning,associated dominance score,different corpus,salient word class,word class,characterising text,certain class,affective load,linguistic ethnography,case study,natural language processing
Computer science,Part of speech,Correlation,Happiness,Anger,Artificial intelligence,Natural language processing,Affect (psychology),Ethnography,Linguistics,Language technology,Salient
Conference
Volume
ISSN
Citations 
5449
0302-9743
6
PageRank 
References 
Authors
0.50
11
2
Name
Order
Citations
PageRank
Rada Mihalcea16460445.54
Stephen Pulman245038.31