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» A New Method for Sentiment Classification in Text Retrieval
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KDD
2002
ACM
126views Data Mining» more  KDD 2002»
14 years 8 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
SMC
2007
IEEE
100views Control Systems» more  SMC 2007»
14 years 2 months ago
Text categorization based on the ratio of word frequency in each categories
— In the present paper, we consider the automatic text categorization as a series of information processing and propose a new classification technique called the Frequency Ratio ...
Makoto Suzuki, Shigeichi Hirasawa
ADBIS
1997
Springer
146views Database» more  ADBIS 1997»
13 years 12 months ago
S-Index: a Hybrid Structure for Text Retrieval
Today, two classes of indexing methods enjoying wide applicability are the Inverted Index and the Superimposed Coding based Signature File (SC-SF). The former is most efficient i...
Dimitrios Dervos, P. Linardis, Yannis Manolopoulos
CIKM
2008
Springer
13 years 9 months ago
A densitometric approach to web page segmentation
Web Page segmentation is a crucial step for many applications in Information Retrieval, such as text classification, de-duplication and full-text search. In this paper we describe...
Christian Kohlschütter, Wolfgang Nejdl
CIKM
2005
Springer
14 years 1 months ago
A novel refinement approach for text categorization
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...