Applied Text Mining Springer International Publishing AG

This textbook covers the concepts, theories, and implementations of text mining and natural language processing (NLP). In the five chapters of Part 2, all the core concepts of text analytics like feature engineering, text classification, text clustering, text summarization, topic mapping, and text visualization are covered.