NATURAL LANGUAGE PROCESSING (NLP) IN DATA SCIENCE: Applications of NLP in data science for analyzing text data and performing tasks like sentiment analysis and machine translation

By Renata Sloane

Natural Language Processing (NLP) in Data Science is your comprehensive guide to understanding the power of NLP and its essential role in modern data science. This book will introduce you to the core concepts of NLP and its vast applications, from analyzing text data to performing tasks like sentiment analysis and machine translation. NLP has become a critical tool in processing and interpreting vast amounts of unstructured text data. By leveraging advanced techniques and Python libraries such as NLTK, SpaCy, and Hugging Face, you'll learn how to clean, analyze, and visualize text data efficiently. The book also covers essential tasks like text classification, tokenization, named entity recognition, and language modeling, with practical examples to guide you through every step. Through hands-on projects, you will explore real-world use cases such as sentiment analysis, where you can gauge public opinion from social media or product reviews, and machine translation, which breaks down language barriers in international communications. Whether you're analyzing customer feedback or building chatbots, this book provides the knowledge you need to tackle any NLP challenge. By the end of this book, you'll have the tools and techniques to unlock valuable insights from text data and implement cutting-edge NLP solutions in your own data science projects.

• Format: Paperback
• Language: English
• ISBN: B0F5PZQ88K
• ISBN13: 9798280659315
• Release Date: April 2025
• Publisher: Independently published
• Length: 173 Pages
• Dimensions: 9.0" x 0.4" x 6.0"