SVM based adaptive learning method for text classification from positive and unlabeled documents

T Peng, W Zuo, F He - Knowledge and Information Systems, 2008 - Springer
Automatic text classification is one of the most important tools in Information Retrieval. This
paper presents a novel text classifier using positive and unlabeled examples. The primary …

A feature selection method for improved document classification

T Basu, CA Murthy - Advanced Data Mining and Applications: 8th …, 2012 - Springer
The aim of text document classification is to automatically group a document to a predefined
class. The main problem of document classification is high dimensionality and sparsity of the …

[PDF][PDF] A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data.

Wa'el Musa Hadi, FA Thabtah… - World Congress on …, 2007 - researchgate.net
Text categorization is one of the well studied problems in data mining and information
retrieval. Given a large quantity of documents in a data set where each document is …

[PDF][PDF] Techniques for text classification: Literature review and current trends.

R Jindal, R Malhotra, A Jain - webology, 2015 - webology.org
Automated classification of text into predefined categories has always been considered as a
vital method to manage and process a vast amount of documents in digital forms that are …

A comparative analysis of text classification for Turkish language

S Yıldırım, T Yıldız - Pamukkale University Journal of Engineering …, 2018 - pajes.pau.edu.tr
Text categorization plays important role in the field of Natural Language Processing.
Recently, the rapid growth in the amount of textual data and requirement of automatic …