With the growth of online information and sudden expansion in the number of electronic
documents provided on websites and in electronic libraries, there is difficulty in categorizing …

Text classification is one of the important research issues in the field of text mining, where
the documents are classified with supervised knowledge. In literature we can find many text …

With the increasing availability of electronic documents and the rapid growth of the World
Wide Web, the task of automatic categorization of documents became the key method for …

Following the recent increase in the amount of available data, Deep Learning has become
the most popular branch of Machine Learning. This trend can also be seen in Natural …

The Web is a tremendous source of information, so tremendous that it becomes difficult for
human beings to select meaningful information without support. Categorization of …

There are three factors involved in text classification. These are classification model,
similarity measure and document representation model. In this paper, we will focus on …

Automatic text categorization has always been an important application and research topic
since the inception of digital documents. Today, text categorization is a necessity due to the …

Topic modeling is an unsupervised learning task that discovers the hidden topics in a
collection of documents. In turn, the discovered topics can be used for summarizing …

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 …

To perform document classification algorithmically, documents need to be represented such
that it is understandable to the machine learning classifier. The report discusses the different …