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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...
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

  • Gain real-world contextualization using deep learning problems concerning research and application
  • Get to know the best practices to improve and optimize your machine...
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

  • Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras
  • Build, deploy, and scale end-to-end deep neural network models in a production...
Artificial Companion for Second Language Conversation: Chatbots Support Practice Using Conversation Analysis
Artificial Companion for Second Language Conversation: Chatbots Support Practice Using Conversation Analysis

The research described in this book shows that conversation analysis can effectively model dialogue. Specifically, this work shows that the multidisciplinary field of communicative ICALL may greatly benefit from including Conversation Analysis. As a consequence, this research makes several contributions to the related research...

Build Android-Based Smart Applications: Using Rules Engines, NLP and Automation Frameworks
Build Android-Based Smart Applications: Using Rules Engines, NLP and Automation Frameworks
Build smart applications using cutting-edge technologies such as rules engines, code automation frameworks, and natural language processing (NLP). This book provides step-by-step instructions on how to port nine rules engines (CLIPS, JRuleEngine, DTRules, Zilonis, TermWare, Roolie, OpenRules, JxBRE, and JEOPS) to the Android...
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...

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
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...
Data Analysis with Python: A Modern Approach
Data Analysis with Python: A Modern Approach

Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.

Key Features

  • Bridge your data analysis...
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