[PDF][PDF] Feature selection in document classification
D Morariu, R Cretulescu… - The fourth international …, 2013 - webspace.ulbsibiu.ro
Text classification, as part of text mining domain, is the problem of classifying text documents
into a set of predefined classes. After extracting the features, documents are represented as …
into a set of predefined classes. After extracting the features, documents are represented as …
[引用][C] A survey on text categorization
S Niharika, VS Latha, DR Lavanya - International Journal of Computer Trends and …, 2012
A wrapper approach with support vector machines for text categorization
Text Categorization (TC)-the assignment of predefined categories to documents of a corpus-
plays an important role in a wide variety of information organization and management tasks …
plays an important role in a wide variety of information organization and management tasks …
Text classification using data mining
SM Kamruzzaman, F Haider, AR Hasan - arXiv preprint arXiv:1009.4987, 2010 - arxiv.org
Text classification is the process of classifying documents into predefined categories based
on their content. It is the automated assignment of natural language texts to predefined …
on their content. It is the automated assignment of natural language texts to predefined …
Best terms: an efficient feature-selection algorithm for text categorization
D Fragoudis, D Meretakis, S Likothanassis - Knowledge and Information …, 2005 - Springer
In this paper, we propose a new feature-selection algorithm for text classification, called best
terms (BT). The complexity of BT is linear in respect to the number of the training-set …
terms (BT). The complexity of BT is linear in respect to the number of the training-set …
A preprocess algorithm of filtering irrelevant information based on the minimum class difference
Z Chen, K Lü - Knowledge-Based Systems, 2006 - Elsevier
Whether a word (or a feature) should be included or excluded during the process of text
classification could depend on a number of factors, such as the amount of information it …
classification could depend on a number of factors, such as the amount of information it …
Text classification techniques: A literature review
M Thangaraj, M Sivakami - Interdisciplinary journal of …, 2018 - search.proquest.com
Text Classification Techniques: A Literature Review Page 1 Volume 13, 2018 Accepted by
Editor Maureen Tanner│ Received: July 7 3, 2017│ Revised: October 31, 2017, January …
Editor Maureen Tanner│ Received: July 7 3, 2017│ Revised: October 31, 2017, January …
Projected-prototype based classifier for text categorization
J Zhang, L Chen, G Guo - Knowledge-Based Systems, 2013 - Elsevier
Currently, the explosive increasing of data stimulates a greater demand for text
categorization. The existing prototype-based classifiers, including k-NN, kNNModel and …
categorization. The existing prototype-based classifiers, including k-NN, kNNModel and …
[引用][C] Text classification using data mining techniques: a review
OC Abikoye, SO Omokanye, TO Aro - 2018 - … Science, University of the West of …