In this article, I will highlight the various aspects of the Support vector machine that makes it different from the Naïve Bayes approach for text classification.
But first thing first!
The classification of text into predefined categories using some automated techniques such as machine learning is known as text classification. An example includes — classifying Emails into spam or hams, tweets into different polarities like Positive, Negative, Disgust, Anger, Fear, Joy, etc. Classification Algorithms like Naïve Bayes, SVM, and even Neural Networks can be used for the above process.
First, it was your secretaries in the offices that used to…
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