Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras
Free Shipping Included! Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras by Packt Publishing - ebooks Account at Translate This Website. Hurry! Limited time offer. Offer valid only while supplies last. Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and
Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.
- Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras
- Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms
- Learn deep learning techniques for text analysis
Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data.
This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy.
You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning.
This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis.
What you will learn
- Why text analysis is important in our modern age
- Understand NLP terminology and get to know the Python tools and datasets
- Learn how to pre-process and clean textual data
- Convert textual data into vector space representations
- Using spaCy to process text
- Train your own NLP models for computational linguistics
- Use statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learn
- Employ deep learning techniques for text analysis using Keras
Who This Book Is For
This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you!
Table of Contents
- What is Text Analysis?
- Python Tips for Text Analysis
- spaCy s Language Models
- Gensim Vectorizing text and transformations and n-grams
- POS-Tagging and its Applications
- NER-Tagging and its Applications
- Dependency Parsing
- Top Models
- Advanced Topic Modelling
- Clustering and Classifying Text
- Similarity Queries and Summarization
- Word2Vec, Doc2Vec and Gensim
- Deep Learning for text
- Keras and spaCy for Deep Learning
- Sentiment Analysis and ChatBots
|Manufacturer:||Packt Publishing - ebooks Account|
|Publisher:||Packt Publishing - ebooks Account|
|Studio:||Packt Publishing - ebooks Account|
|Item Weight:||1.17 pounds|
|Item Size:||0.64 x 9.25 x 9.25 inches|
|Package Weight:||1.17 pounds|
|Package Size:||7.48 x 0.71 x 0.71 inches|
Have questions about this item, or would like to inquire about a custom or bulk order?
If you have any questions about this product by Packt Publishing - ebooks Account, contact us by completing and submitting the form below. If you are looking for a specif part number, please include it with your message.
Related Best Sellers
By John C Mitchell
ean: 9780521780988, isbn: 0521780985,
Concepts in Programming Languages elucidates the central concepts used in modern programming languages, such as functions, types, memory management, and control. The book is unique in its comprehensive presentation and comparison of major object-orie...
mpn: illustrations, ean: 9780133943023, isbn: 013394302X,
For courses in computer programming. Evaluating the Fundamentals of Computer Programming Languages Concepts of Computer Programming Languages introduces students to the fundamental concepts of computer programming languages and provides them...
By Cambridge University Press
ean: 9780521024518, isbn: 052102451X,
This book explains how to build Natural Language Generation (NLG) systems--computer software systems that automatically generate understandable texts in English or other human languages. NLG systems use knowledge about language and the application do...
By Cambridge University Press
mpn: 9781107150300, ean: 9781107150300, isbn: 1107150302,
This text develops a comprehensive theory of programming languages based on type systems and structural operational semantics. Language concepts are precisely defined by their static and dynamic semantics, presenting the essential tools both intuitiv...
By McGraw-Hill Education
mpn: black & white tables, figures, ean: 9780073191461, isbn: 0073191469,
Introduction to Languages and the Theory of Computation helps students make the connection between the practice of computing and an understanding of the profound ideas that defines it. The book's organization and the author's ability to explain compl...
By Addison-Wesley Professional
mpn: 9780321563842, ean: 9780321563842, isbn: 0321563840,
This book features an enhanced, layflat binding, which allows the book to stay open more easily when placed on a flat surface. This special binding method—noticeable by a small space inside the spine—also increases durability. C++11 has arrived: ...