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108
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ICML
1997
IEEE
16 years 1 months ago
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
Thorsten Joachims
125
Voted
SIGIR
2008
ACM
15 years 1 months ago
Exploiting subjectivity analysis in blogs to improve political leaning categorization
In this paper, we address a relatively new and interesting text categorization problem: classify a political blog as either liberal or conservative, based on its political leaning...
Maojin Jiang, Shlomo Argamon
130
Voted
SIGIR
2003
ACM
15 years 6 months ago
Text categorization by boosting automatically extracted concepts
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...
Lijuan Cai, Thomas Hofmann
105
Voted
CIVR
2009
Springer
146views Image Analysis» more  CIVR 2009»
15 years 7 months ago
Web news categorization using a cross-media document graph
In this paper we propose a multimedia categorization framework that is able to exploit information across different parts of a multimedia document (e.g., a Web page, a PDF, a Micr...
José Iria, Fabio Ciravegna, João Mag...
127
Voted
ECML
2006
Springer
15 years 3 months ago
Distributional Features for Text Categorization
Abstract-- Text categorization is the task of assigning predefined categories to natural language text. With the widely used `bag of words' representation, previous researches...
Xiao-Bing Xue, Zhi-Hua Zhou