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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 9 days ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
ICDE
2005
IEEE
194views Database» more  ICDE 2005»
16 years 1 months ago
Sentiment Mining in WebFountain
WebFountain is a platform for very large-scale text analytics applications that allows uniform access to a wide variety of sources. It enables the deployment of a variety of docum...
Jeonghee Yi, Wayne Niblack
AMR
2007
Springer
159views Multimedia» more  AMR 2007»
15 years 6 months ago
Automatically Detecting Members and Instrumentation of Music Bands Via Web Content Mining
Abstract. In this paper, we present an approach to automatically detecting music band members and instrumentation using web content mining techniques. To this end, we combine a nam...
Markus Schedl, Gerhard Widmer
FLAIRS
2006
15 years 1 months ago
Mining the Web to Determine Similarity Between Words, Objects, and Communities
The World Wide Web provides a wealth of data that can be harnessed to help improve information retrieval and increase understanding of the relationships between different entities...
Mehran Sahami
GFKL
2005
Springer
167views Data Mining» more  GFKL 2005»
15 years 5 months ago
Quantitative Text Typology: The Impact of Sentence Length
Abstract. This study focuses on the contribution of sentence length for a quantitative text typology. Therefore, 333 Slovenian texts are analyzed with regard to their sentence leng...
Emmerich Kelih, Peter Grzybek, Gordana Antic, Erns...