Chapter 6. Text Classification

Text classification is an extensively used phenomenon in natural language processing which has widespread utility in the different domains. Also known as text categorization, text classification finds its usage in various tasks related to information retrieval and management. Spam detection in e-mails, opinion mining or sentiment analysis on social media data, priority e-mail sorting, intent identification from user queries in chatbots, and automated query answering mechanisms are a few examples where text categorization has proved to be highly effective. In earlier chapters, we have discussed various feature selection and dimensionality reduction methods, which are preprocessing steps before text classification. We will briefly discuss supervised learning or classification mechanisms, how a learner is designed, and then we will move on to their implementation in terms of text data. We will also discuss the different cross-validation and evaluation mechanisms...