11 Oct 2005
CS 5244 - Computational Document
Analysis
15
In summary…
ˇGenre
and authorship analysis relies on highly frequent evidence
that is portable across document subjects.
ˇContrast
with subject/text classification which looks for specific
keywords as evidence.
ˇReferences:
ˇMosteller
& Wallace (63) Inference in an authorship problem, J
American Statistical Association 58(3)
ˇKarlgren
& Cutting (94) Recognizing Text Genres with Simple Metrics
Using Discriminant Analysis, Proc. of COLING-94.
ˇde
Vel, Anderson, Corney & Mohay (01) Mining Email Content for
Author Identification Forensics, SIGMOD Record
ˇFoster
(00) Author Unknown. Owl Books
ˇBiber
(89) A typology of English texts, Linguistics,
27(3)
ˇLee
and Myaeng (02) Text genre classification with genre-revealing
and subject-revealing features, SIGIR 02