In a text categorization model using an artificial neural network as the text classifier
scalability is poor if the neural network is trained using the raw feature space since textural …

Text categorization (also called text classification) is the process of identifying the class to
which a text document belongs. This paper proposes to use a simple non-weighted features …

The kind of application that the text categorization shell, TCS, can produce is characterized.
Many of its applications have great commercial value. The design goals for TCS are …

Text classification is the process of grouping texts into one or more predefined categories
based on their content. Due to the increased availability of documents in digital form and the …

Text classification has gained booming interest over the past few years. As a simple,
effective and nonparametric classification method, KNN method is widely used in document …

Text categorization is the process of sorting text documents into one or more predefined
categories or classes of similar documents. Differences in the results of such categorization …

This paper proposed a new text categorization model based on the combination of modified
back propagation neural network (MBPNN) and latent semantic analysis (LSA). The …

Day by day the number of text documents in digital form is increasing. Text classification is
used to organize these text documents. However, text classification has the problem of high …

With the rapid development of the Computer Science and Technology, It has become a
major problem for the users that how to quickly find useful or needed information. Text …

Traditional machine learning requires data to be described by attributes prior to applying a
learning algorithm. In text classification tasks, many feature engineering methodologies …