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Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras
Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras

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.

Key Features

  • Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and...
Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new...
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow

Key Features

  • Explore reinforcement learning concepts and their implementation using TensorFlow
  • Discover different problem-solving methods for reinforcement...
Apache Spark Deep Learning Cookbook: Over 80 recipes that streamline deep learning in a distributed environment with Apache Spark
Apache Spark Deep Learning Cookbook: Over 80 recipes that streamline deep learning in a distributed environment with Apache Spark

A solution-based guide to put your deep learning models into production with the power of Apache Spark

Key Features

  • Discover practical recipes for distributed deep learning with Apache Spark
  • Learn to use libraries such as Keras and TensorFlow
  • Solve...
Natural Language Processing and Text Mining
Natural Language Processing and Text Mining
From the reviews:

"The papers in this book describe a range of natural language processing (NLP) techniques and applications, all originating from an ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) panel discussion. … Overall, the contributions are well balanced with respect to the different approaches...

Natural Language Annotation for Machine Learning
Natural Language Annotation for Machine Learning
This book is intended as a resource for people who are interested in using computers to help process natural language. A natural language refers to any language spoken by humans, either currently (e.g., English, Chinese, Spanish) or in the past (e.g., Latin, ancient Greek, Sanskrit). Annotation refers to the process...
Python 3 Text Processing with NLTK 3 Cookbook
Python 3 Text Processing with NLTK 3 Cookbook

Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0

About This Book

  • 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...
Understand Body Language (Teach Yourself)
Understand Body Language (Teach Yourself)
Now updated for the 21st century with the very latest on NLP and other cutting-edge research


Not restricted to the workplace, but covering every social and domestic situation, this guide offers readers the knowledge and understanding to be able to use and interpret body language...
NLTK Essentials
NLTK Essentials

Build cool NLP and machine learning applications using NLTK and other Python libraries

About This Book

  • Extract information from unstructured data using NLTK to solve NLP problems
  • Analyse linguistic structures in text and learn the concept of semantic analysis and parsing
  • ...
Machine Translation: Its Scope and Limits
Machine Translation: Its Scope and Limits
Machine Translation (MT) is both an engineering technology and a measure of all things to do with languages and computers—whenever a new theory of language or linguistics is offered, an important criteria for its success is whether or not it will improve machine translation.

This book presents a history of machine translation (MT) from...

Computational Approaches to Morphology and Syntax (Oxford Surveys in Syntax & Morphology)
Computational Approaches to Morphology and Syntax (Oxford Surveys in Syntax & Morphology)
"This book should undoubtedly be of great interest to students and researchers of morphology, syntax, computational linguistics, and natural language processing. The book provides an excellent systematics overivew of the current state-of-the-art of the field. The book includes extensive descriptions of the formal characterization of...
Text, Speech and Dialogue: 13th International Conference, TSD 2010, Brno, Czech Republic, September 6-10
Text, Speech and Dialogue: 13th International Conference, TSD 2010, Brno, Czech Republic, September 6-10
The annual Text, Speech and Dialogue Conference (TSD), which originated in 1998, is now starting its second decade. So far more than 1,000 authors from 45 countries have contributed to the proceedings. TSD constitutes a recognized platform for the presentation and discussion of state-of-the-art technology and recent achievements in...
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