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» Learning to Classify Texts Using Positive and Unlabeled Data
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IADIS
2003
13 years 9 months ago
Hypertext Classification: A Multiagent Model for Adaptive Learning Algorithm
The problem of hypertext classification deals with objects possessing more complex information structure than the plain text has. Present hypertext classification systems show the...
Stanislav Baglei
ECIR
2009
Springer
13 years 5 months ago
Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis
Abstract. In the community of sentiment analysis, supervised learning techniques have been shown to perform very well. When transferred to another domain, however, a supervised sen...
Songbo Tan, Xueqi Cheng, Yuefen Wang, Hongbo Xu
SDM
2004
SIAM
174views Data Mining» more  SDM 2004»
13 years 9 months ago
Classifying Documents Without Labels
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
Daniel Barbará, Carlotta Domeniconi, Ning K...
GFKL
2007
Springer
166views Data Mining» more  GFKL 2007»
14 years 1 months ago
Classifying Number Expressions in German Corpora
Number and date expressions are essential information items in corpora and therefore play a major role in various text mining applications. However, so far number expressions were ...
Irene M. Cramer, Stefan Schacht, Andreas Merkel
KDD
2005
ACM
99views Data Mining» more  KDD 2005»
14 years 8 months ago
Determining an author's native language by mining a text for errors
In this paper, we show that stylistic text features can be exploited to determine an anonymous author's native language with high accuracy. Specifically, we first use automat...
Moshe Koppel, Jonathan Schler, Kfir Zigdon