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What is Text Classification ?
Text classification is the technique of categorizing text into organized clusters. Text classification is also known as text categorization. Text classifiers can analyze text data and then assign a set of pre-defined tags or categories based on the text data
Some Example of Text Classification
Text Classification : It is the technique of computerized identifying and categorizing the opinions expressed from the textual data especially in order to determine the writer's attitude towards a particular topic or product. It is positive, negative or neutral.
Topic Detection : In this identify the main topic of the text data.
Language Detection : In this the procedure detecting the language in the text data.
Some methods, which are commonly used for text classification :
Pattern rule based classifier
Neural Network Classifier
Bayesian (Generative) Classifier etc.
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