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 …

Document classification is a task of assigning a new unclassified document to one of the
predefined set of classes. The content based document classification uses the content of the …

In this paper we perform a comparative analysis of three models for a feature representation
of text documents in the context of document classification. In particular, we consider the …

Document classification has become an important field of research due to the increase of
unstructured text documents available in digital form. It is considered one of the key …

Majority of the existing text classification algorithms are based on the “bag of words”(BOW)
approach, in which the documents are represented as weighted occurrence frequencies of …

Text classification is the automated assignment of natural language texts to predefined
categories based on their content. Text classification is the primary requirement of text …

The main objective is to propose a text classification based on the features selection and
preprocessing thereby reducing the dimensionality of the Feature vector and increase the …

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 …

In this study, we propose a method for encoding documents into string vectors, instead of
numerical vectors. A traditional approach to text categorization usually requires encoding …

The task of extracting the used feature vector in mining tasks (classification, clustering… etc.)
is considered the most important task for enhancing the text processing capabilities. This …