In this paper we propose a new method of classifying text documents. Unlike conventional
vector space models, the proposed method preserves the sequence of term occurrence in a …

Text categorization presents unique challenges to traditional classification methods due to
the large number of features inherent in the datasets from real-world applications of text …

Text classification is the process of classifying documents into predefined categories based
on their content. Existing supervised learning algorithms to automatically classify text need …

The enormous amount of information stored in unstructured texts cannot simply be used for
further processing by computers, which typically handle text as simple sequences of …

Automated text classification has been considered as a vital method to manage and process
a vast amount of documents in digital forms that are widespread and continuously …

The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

The accuracy of a text classification method based on a SVM learner depends on the
weighting metric used in order to assign a weight to a term. Weighting metrics can be …