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» Transferring Naive Bayes Classifiers for Text Classification
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ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
14 years 7 months ago
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
Pu Wang, Carlotta Domeniconi
82
Voted
SIGIR
2002
ACM
14 years 9 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
15 years 1 months ago
A Comparative Study of Classification Based Personal E-mail Filtering
This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of field...
Yanlei Diao, Hongjun Lu, Dekai Wu
WWW
2001
ACM
15 years 10 months ago
On integrating catalogs
We address the problem of integrating documents from different sources into a master catalog. This problem is pervasive in web marketplaces and portals. Current technology for aut...
Rakesh Agrawal, Ramakrishnan Srikant
ACL
2006
14 years 11 months ago
Time Period Identification of Events in Text
This study aims at identifying when an event written in text occurs. In particular, we classify a sentence for an event into four time-slots; morning, daytime, evening, and night....
Taichi Noro, Takashi Inui, Hiroya Takamura, Manabu...