This work implements an enhanced hybrid classification method through the utilization of the
naïve Bayes classifier and the Support Vector Machine (SVM). In this project, the Bayes …

An increasing number of computational and statistical approaches have been used for text
classification, including nearest-neighbor classification, naïve Bayes classification, support …

High Relevance Keyword Extraction (HRKE) facility is introduced to Bayesian text
classification to perform feature/keyword extraction during the classifying stage, without …

The Naïve Bayes classification approach has been widely implemented in real-world
applications due to its relative simplicity and low cost training and classifying algorithm. As a …

An effective text representation scheme dominates the performance of text categorization
system. However, based on the assumption of independent terms, the traditional schemes …

In text categorization, vectorizing a document by probability distribution is an effective
dimension reduction way to save training time. However, the data sets that share many …

Protein aggregation is a biological phenomenon caused by misfolding proteins aggregation
and is associated with a wide variety of diseases, such as Alzheimer's, Parkinson's, and …

By developing the World Wide Web, text categorization becomes a key way to deal with a
large number of data and organize them. Automatic text categorization has three steps …

In the literature, self-organizing physical and chemical systems have been proposed as
candidates for physical intelligent systems that may solve problems in the field of artificial …