BPB Publications, 2022. — 436 p. — ISBN: 978-93-89898-781.
Natural Language Processing (NLP) has proven to be helpful in a wide range of applications. Because of this, we are extracting information from text data sets requires attention to methods, techniques, and approaches. 'Python Text Mining' includes several application cases, demonstrations, and approaches that will help you deepen your understanding of feature extraction from data sets. You will understand good information retrieval, a critical step in accomplishing many machine learning tasks. We will learn to classify text into discrete segments solely based on model properties, not based on user-supplied criteria. The book will walk you through many methodologies, such as classification, that will enable you to rapidly construct recommendation engines, subject segmentation, and sentiment analysis applications. Toward the end, we will also look at machine translation and transfer learning.