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JAIR
2010
94views more  JAIR 2010»
13 years 7 months ago
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
Sajib Dasgupta, Vincent Ng
GFKL
2004
Springer
82views Data Mining» more  GFKL 2004»
14 years 1 months ago
Quantitative Text Typology: The Impact of Word Length
The present study aims at the quantitative classification of texts and text types. By way of a case study, 398 Slovenian texts from different genres and authors are analyzed as t...
Peter Grzybek, Ernst Stadlober, Emmerich Kelih, Go...
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
14 years 1 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter
CHI
2008
ACM
13 years 10 months ago
Word usage and posting behaviors: modeling blogs with unobtrusive data collection methods
We present a large-scale analysis of the content of weblogs dating back to the release of the Blogger program in 1999. Over one million blogs were analyzed from their conception t...
Adam D. I. Kramer, Kerry Rodden
NAACL
2003
13 years 10 months ago
Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
Andrew E. Smith