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Harness the Power of Language with the Practitioner's Guide to Natural Language Processing

Jese Leos
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Published in Text Analytics With Python: A Practitioner S Guide To Natural Language Processing
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Text Analytics with Python: A Practitioner s Guide to Natural Language Processing
Text Analytics with Python: A Practitioner's Guide to Natural Language Processing
by Dipanjan Sarkar

4.6 out of 5

Language : English
File size : 26767 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Print length : 702 pages
Hardcover : 197 pages
Item Weight : 1.26 pounds
Dimensions : 8.25 x 0.64 x 11 inches
Screen Reader : Supported

In today's data-driven world, the ability to extract insights and communicate with machines using human language is crucial. Natural Language Processing (NLP) empowers us with the tools to unlock these capabilities, transforming the way we interact with technology.

Delving into the Practitioner's Guide

The Practitioner's Guide to Natural Language Processing is an invaluable resource for practitioners seeking to master NLP techniques and applications. This comprehensive guide provides a deep dive into the fundamentals of NLP, equipping readers with the knowledge and skills to build intelligent solutions that understand and communicate with humans.

Fundamentals of NLP

  • Tokenization and Stemming: Breaking down text into individual words and extracting their root form.
  • Part-of-Speech Tagging: Identifying the grammatical role of each word in a sentence.
  • Named Entity Recognition: Extracting important entities like names, locations, and organizations.
  • Dependency Parsing: Understanding the relationships between words within a sentence.

Advanced NLP Techniques

  • Machine Translation: Translating text from one language to another using statistical models.
  • Text Summarization: Generating concise summaries of lengthy text documents.
  • Sentiment Analysis: Classifying text based on its emotional tone.
  • Chatbots: Developing conversational AI assistants that respond to human input using NLP.

Practical Applications of NLP

  • Customer Service: Automating customer inquiries and providing personalized responses.
  • Healthcare: Analyzing medical records, extracting patient information, and aiding in diagnosis.
  • Finance: Extracting insights from financial news and predicting market trends.
  • Social Media Monitoring: Analyzing sentiment and extracting insights from social media data.

Empowering NLP Practitioners

The Practitioner's Guide to Natural Language Processing is the ultimate resource for anyone looking to master NLP techniques and develop intelligent solutions. With its comprehensive coverage of both fundamental and advanced topics, this guide empowers practitioners to:

  • Understand the theoretical foundation of NLP.
  • Apply NLP techniques to real-world problems.
  • Develop and deploy NLP-based solutions.
  • Stay up-to-date on the latest NLP advancements.

Free Download Your Copy Today

Unlock the power of Natural Language Processing with the Practitioner's Guide to Natural Language Processing. Free Download your copy today and become a proficient NLP practitioner, empowering your organization to extract insights and communicate with machines using human language.

The Practitioner's Guide To Natural Language Processing Book Cover Text Analytics With Python: A Practitioner S Guide To Natural Language Processing

Text Analytics with Python: A Practitioner s Guide to Natural Language Processing
Text Analytics with Python: A Practitioner's Guide to Natural Language Processing
by Dipanjan Sarkar

4.6 out of 5

Language : English
File size : 26767 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Print length : 702 pages
Hardcover : 197 pages
Item Weight : 1.26 pounds
Dimensions : 8.25 x 0.64 x 11 inches
Screen Reader : Supported
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The book was found!
Text Analytics with Python: A Practitioner s Guide to Natural Language Processing
Text Analytics with Python: A Practitioner's Guide to Natural Language Processing
by Dipanjan Sarkar

4.6 out of 5

Language : English
File size : 26767 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
Print length : 702 pages
Hardcover : 197 pages
Item Weight : 1.26 pounds
Dimensions : 8.25 x 0.64 x 11 inches
Screen Reader : Supported
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