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What is Text Classification ?
Text classification is the process of assigning tags or categories to text according to its content. ... Unstructured data in the form of text is everywhere: emails, chats, web pages, social media, support tickets, survey responses, and more.
This projet uses Java 8 and Swing API with following controls
Java is a general-purpose programming language that is class-based, object-oriented, and designed to have as few implementation dependencies as possible. Java is platform Independent language and it is mainly designed for Internet programming, It comes with 3 products mainly
Swing is a GUI widget toolkit for Java. It is part of Oracle's Java Foundation Classes – an API for providing a graphical user interface for Java programs. Swing was developed to provide a more sophisticated set of GUI components than the earlier Abstract Window Toolkit.
Naive Bayes Algorithm:
Naive Bayes classifiers, a family of classifiers that are based on the popular Bayes’ probability theorem, are known for creating simple yet well performing models, especially in the fields of document classification and disease prediction.
In this first part of a series, we will take a look at the theory of naive Bayes classifiers and introduce the basic concepts of text classification. Why the name? “Bayes” is named from the famous Bayes’ Theorem in probability, and “Naive” is because the assumptions of this algorithm are very simple and most of the time not true.
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