Text classification approach gaining more importance because of the accessibility of large
number of electronic documents from a variety of resource. Text categorization is the task of …

Information technology generated huge data on the internet. Initially this data is mainly in
English language so majority of data mining research work is on the English text documents …

1. Background With the immense growth of online information due to Internet, text-
categorization has become a very significant technology to classify a large number of …

In the current generation, a huge amount of textual documents are generated and there is an
urgent need to organize them in a proper structure so that classification can be performed …

This paper proposes a new approach for classifying text documents into two disjoint classes.
The new approach is based on extracting patterns, in the form of two logical expressions …

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 …

Text categorization is one of the known problems in classification data mining. It aims to
mapping text documents into one or more predefined class or category based on its contents …

Text categorization is continuing to be one of the most researched NLP problems due to the
ever-increasing amounts of electronic documents and digital libraries. In this paper, we …

Text categorization is the task of assigning predefined categories to natural language text.
With the widely used'bag of words' representation, previous researches usually assign a …