The Natural Language Processing Workshop: Confidently design and build your own NLP projects with this easy-to-understand practical guide

Rohan Chopra

Muzaffar Bashir Shah

Nipun Sadvilkar

Aniruddha M. Godbole

Dwight Gunning

Sohom Ghosh +2 more

€32.99

4.6 (5 Ratings)

Paperback Aug 2020 452 pages 1st Edition

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Key benefits

Get familiar with key natural language processing (NLP) concepts and terminology

Explore the functionalities and features of popular NLP tools

Learn how to use Python programming and third-party libraries to perform NLP tasks

Description

Do you want to learn how to communicate with computer systems using Natural Language Processing (NLP) techniques, or make a machine understand human sentiments? Do you want to build applications like Siri, Alexa, or chatbots, even if you’ve never done it before? With The Natural Language Processing Workshop, you can expect to make consistent progress as a beginner, and get up to speed in an interactive way, with the help of hands-on activities and fun exercises. The book starts with an introduction to NLP. You’ll study different approaches to NLP tasks, and perform exercises in Python to understand the process of preparing datasets for NLP models. Next, you’ll use advanced NLP algorithms and visualization techniques to collect datasets from open websites, and to summarize and generate random text from a document. In the final chapters, you’ll use NLP to create a chatbot that detects positive or negative sentiment in text documents such as movie reviews. By the end of this book, you’ll be equipped with the essential NLP tools and techniques you need to solve common business problems that involve processing text.

What you will learn

Obtain, verify, clean and transform text data into a correct format for use

Use methods such as tokenization and stemming for text extraction

Develop a classifier to classify comments in Wikipedia articles

Collect data from open websites with the help of web scraping

Train a model to detect topics in a set of documents using topic modeling

Discover techniques to represent text as word and document vectors

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Frequently bought together

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The Statistics and Calculus with Python Workshop

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The Natural Language Processing Workshop

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Total € 95.97

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N/A Dec 20, 2023

This is a good book for beginners. The examples are clear. Overall, it is a very good book.

Feefo Verified review

Darpan Feb 27, 2021

All NLP practitioners are having trouble finding natural language processing books to start with. Particularly the lack and insufficient understanding of each topic required base to learn. BERT, NLTK, Semantic Efficacy, Segment Embedding, Contextual Embedding all of these are very important and important topics to learn in productive Environment.This book is very good to start with basics. All topics are covered in a particular manner. All functionality is covered with detailed understanding and and hands on method. With this book users can read and learn very quickly because of the easy language Good thing about this book is that its practical implementation of each topic will help us to understand details of implementation has been done in algorithm.Overall it is a very awesome book for nlp.

Amazon Verified review

William Kpabitey Kwabla Oct 01, 2020

Explanation Of ConceptThe authors took their time to really explain the concepts for everyone to really understand them. I have a preference of understanding concepts than memorizing them and the authors did an amazing job explaining conceptsClarity of CodeWith the amazing explanations of concepts, they did a great job with the implementation of the concepts in python.ProjectsI like project based learning which is what the authors used to teach and implement the concepts. Aside from that, they added many exercises for each chapter to help solidify what you learn in every chapter.

Nitin Kishore Jan 25, 2021

I've been looking for a good book to refresh my basic concepts since finishing grad school. This books is an extensive package and doesn't just address NLP in terms of recent popular sub fields like chat bots or Bert but rather goes into multiple levels of linguistic analysis like morphology, discourse, syntax, semantics etc. and provides a more well rounded introduction to all sub fields. It's perfect as an intro. This book is easy to consume and filled with python snippets that help you understand what's happening through code.NLTK to spell check your data before lemmatizing was a good tip that is usually missed by many people even in the industry. They do go into using textblob as well. I wish they could have included some spacy related content and went into some use cases or SOTA for each topic. That would help people currently working in the industry as well. Perhaps they would cover that in another book.Exercises, examples and pipelines are very practical and go over standard text processing practices and how to do them. Some of these are generalized and useful in other non NLP related projects as well. The theory is brief, to the point, easy to follow even without any examples and it is not math heavy which is usually what intimidates beginners or non STEM students and professionals from engaging in reading. This is the perfect book for them to start their learning and explore further.Towards the end they do introduce Bert in context of text summarization and explain word vectors and embedding which is crucial if you want to delve into deep learning models. Would love to see more advanced content as well that covers Deep NLP

Hakuna Matata Feb 08, 2021

Very few beginner books in NLP I have seen with details on word sense disambiguation, sentence boundary detection, and detailed chapter in feature extraction and data preparation. I also loved the chapters on web scrapping and dealing with semi structured data - very important skill for a data scientist in general.Love the code snippets and the ability to test those snippets in mybinder. I didn't have to worry about setting up my own Jupyter setup to get going. This is a huge barrier for many developers who want to just focus on learning the concepts instead of getting bogged down with environment setup.

The Natural Language Processing Workshop: Confidently design and build your own NLP projects with this easy-to-understand practical guide

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