Case study-based chapters: Apply NLP techniques to real business problems for practical learning
Comprehensive coverage of algorithms: Learn bag of words, supervised learning, deep learning, and more
Step-by-step code and output: Gain hands-on experience with Python code for each example
Industry-specific focus: Explore NLP challenges and solutions in customer service, reviews, finance, and more
Up-to-date with current techniques: Use the latest methods such as sentiment analysis, named entity recognition, and topic modeling
Summarized by Shop
Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a deeper dive on code and output in Py