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» Feature selection methods for text classification
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KDD
2004
ACM
150views Data Mining» more  KDD 2004»
15 years 11 months ago
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
Edoardo Airoldi, Xue Bai, Rema Padman
CIARP
2006
Springer
15 years 2 months ago
Authorship Attribution Using Word Sequences
Authorship attribution is the task of identifying the author of a given text. The main concern of this task is to define an appropriate characterization of documents that captures ...
Rosa María Coyotl-Morales, Luis Villase&nti...
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
15 years 4 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
ICMCS
2006
IEEE
173views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Applying Supervised Classifiers Based on Non-negative Matrix Factorization to Musical Instrument Classification
In this paper, a new approach for automatic audio classification using non-negative matrix factorization (NMF) is presented. Training is performed onto each audio class individua...
Emmanouil Benetos, Margarita Kotti, Constantine Ko...
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
15 years 11 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...