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Python 3 Text Processing with NLTK 3 Cookbook
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This cookbook provides simple, straightforward examples so you can quickly learn text processing with Python and NLTK.
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Product Details
- Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0
- Break text down into its component parts for spelling correction, feature extraction, and phrase transformation
- Learn how to do custom sentiment analysis and named entity recognition
- Tokenize text into sentences, and sentences into words
- Apply spelling correction and word replacement
- Access the built-in text corpora and create your own custom corpus
| Publisher | Packt Publishing |
| Publication date | August 26, 2014 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 310 pages |
| ISBN-10 | 1782167854 |
| ISBN-13 | 978-1782167853 |
| Item Weight | 1.15 pounds (520 grams) |
| Dimensions | 7.5 x 0.69 x 9.25 inches (19.1 x 1.8 x 23.5 cm) |
Product Description
Python 3 Text Processing with NLTK 3 Cookbook
Product Buying Guide
Edition. This guide will provide you with all the necessary information to make an informed purchasing decision. Whether you are a Python programmer looking to learn natural language processing or need automated ways to analyze and structure text, this cookbook is the perfect resource for you.
Product Specifications
- Title: Python 3 Text Processing with NLTK 3 Cookbook 2nd ed. Edition
- Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0
- Target Location: {{COUNTRY}}
Key Features
- Break text down into its component parts for spelling correction, feature extraction, and phrase transformation
- Learn how to do custom sentiment analysis and named entity recognition
- Access the built-in text corpora and create your own custom corpus
- Classify text and perform sentiment analysis
- Simple and easy-to-follow programming recipes
Usage Scenarios
- Python programmers interested in learning how to do natural language processing
- Individuals who want automated ways to analyze and structure text
- Users with a basic knowledge of Python and text processing concepts
- Those with experience or interest in regular expressions
Usage Scenarios
- Competitor 1
- Competitor 2
- Competitor 3
Some User Review
- The Python 3 Text Processing with NLTK 3 Cookbook is a fantastic resource for anyone looking to dive into natural language processing. The step-by-step programming recipes make it easy to follow along and implement the techniques. Highly recommended!
- As a Python programmer, I found this cookbook to be invaluable for learning NLTK and text processing. The examples are well-explained, and the book covers a wide range of techniques. Definitely worth investing in!
- The NLTK Cookbook is a must-have for anyone working with text and language processing. The recipes are practical and provide real-world solutions. The book assumes some basic knowledge of Python, but even beginners can benefit from the clear explanations.
Competitors
- The price of the Python 3 Text Processing with NLTK 3 Cookbook may vary depending on the retailer and location. It is recommended to compare prices from different sources to find the best deal.
- Consider looking for discounts or special offers, especially during holiday seasons or promotions.
Buying Considerations
- Ensure that you have a basic knowledge of Python and text processing concepts before purchasing this cookbook.
- If you are new to NLTK and natural language processing, consider familiarizing yourself with the basics before diving into this book.
- Check the availability and price from different retailers to find the most suitable option for your location and budget.
- Read user reviews and feedback to get an idea of the book's effectiveness and suitability for your specific needs.
Conclusion
The Python 3 Text Processing with NLTK 3 Cookbook 2nd ed. Edition is a comprehensive resource for Python programmers looking to explore natural language processing. With its practical recipes and clear explanations, it offers a valuable learning experience. Consider your knowledge level, budget, and location when making the purchase decision.
View LessEdition. This guide will provide you with all the necessary information to make an informed purchasing decision. Whether you are a Python programmer looking to learn natural language processing or need automated ways to analyze and structure text, this cookbook is the perfect resource for you. Continue Reading
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Natural Language Processing Editorial Review
Python 3 Text Processing with NLTK 3 Cookbook Illustrated Edition is a textbook for beginners who want to learn about NLTK. The book provides solutions, but they are not effective or thorough. Some red URLs or package mentioned in the book are outdated and not useful. The author is also unresponsive to readers' queries, which negatively impacted reader experience. Compared to the free "Natural Language Processing with Python" (2009), this book offers poor communication, content, and utility.
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Pros
- Provides an introduction for those new to NLTK
Cons
- Solutions are not effective or thorough
Product Price History
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Features & Benefits
- Break text down into its component parts for spelling correction, feature extraction, and phrase transformation
- Do custom sentiment analysis and named entity recognition
- Create your own custom corpus and access the built-in text corpora
- Perform text classification with a focus on sentiment analysis
- Try a few methods for distributed text processing
- Learn text processing with Python and NLTK
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