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Hands-On Natural Language Processing with Python by Rajalingappaa Shanmugamani, Rajesh Arumugam

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Text Classification Using LSTM

Text classification is the task of tagging natural language texts or unstructured text to one of the categories from a predefined set. Identifying positive-negative sentiments in product reviews, categorizing news articles, and segmenting customers based on their conversations about products in social media are some of the applications of text classification. One real-world example is automatic spam detection using machine learning (ML) in Gmail. The main goal of this chapter is to make the reader understand and get familiar with hands-on deep learning approaches for text classification.

In the previous chapters (Chapter 2, Text Classification and POS Tagging Using NLTK), we briefly touched upon text classification ...

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