Natural Language Processing category: 128 books
by Jalaj Thanaki
Language: English
Release Date: July 31, 2017
Language: English
Release Date: July 31, 2017
Leverage the power of machine learning and deep learning to extract information from text data
About This Book
Implement Machine Learning and Deep Learning techniques for efficient natural language processing
Get started with NLTK and implement NLP in your applications with ease
Understand and...
Natural Language Processing with Python Cookbook
Over 60 recipes to implement text analytics solutions using deep learning principles
Language: English
Release Date: November 24, 2017
Learn the tricks and tips that will help you design Text Analytics solutions
About This Book
Independent recipes that will teach you how to efficiently perform Natural Language Processing in Python
Use dictionaries to create your own named entities using this easy-to-follow guide
Learn how to...
by Nitin Hardeniya, Jacob Perkins, Deepti Chopra
Language: English
Release Date: November 21, 2016
Language: English
Release Date: November 21, 2016
Learn to build expert NLP and machine learning projects using NLTK and other Python libraries
About This Book
Break text down into its component parts for spelling correction, feature extraction, and phrase transformation
Work through NLP concepts with simple and easy-to-follow programming recipes
Gain...
by Rada Mihalcea, Dragomir Radev
Language: English
Release Date: April 11, 2011
Language: English
Release Date: April 11, 2011
Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that...
Natural Language Processing and Computational Linguistics
A practical guide to text analysis with Python, Gensim, spaCy, and Keras
Language: English
Release Date: June 29, 2018
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 Keras
Hands-on...
Natural Language Processing with Java Cookbook
Over 70 recipes to create linguistic and language translation applications using Java libraries
Language: English
Release Date: April 25, 2019
A problem-solution guide to encounter various NLP tasks utilizing Java open source libraries and cloud-based solutions
Key Features
Perform simple-to-complex NLP text processing tasks using modern Java libraries Extract relationships between different text complexities using a problem-solution...
Multilingual Natural Language Processing Applications
From Theory to Practice
Language: English
Release Date: May 11, 2012
Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part...
Hands-On Natural Language Processing with Python
A practical guide to applying deep learning architectures to your NLP applications
Language: English
Release Date: July 18, 2018
Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow
Key Features
Weave neural networks into linguistic applications across various platforms
Perform NLP tasks and train its models using NLTK and TensorFlow
Boost your NLP models with strong deep learning architectures...
Cross-Disciplinary Advances in Applied Natural Language Processing
Issues and Approaches
Language: English
Release Date: December 31, 2011
Applied Natural Language Processing (ANLP) is interested in not only the creation of natural language processing approaches (i.e., tools, systems, algorithms, models, theories, and techniques), but it is also (and, arguably, more specifically) interested in how those approaches stack up against new problems,...
by Diana Maynard, Kalina Bontcheva, Isabelle Augenstein
Language: English
Release Date: December 13, 2016
Language: English
Release Date: December 13, 2016
This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing...
Natural Language Processing for Social Media
Second Edition
Language: English
Release Date: December 15, 2017
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP)...
Hands-On Markov Models with Python
Implement probabilistic models for learning complex data sequences using the Python ecosystem
Language: English
Release Date: September 27, 2018
Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn
Key Features
Build a variety of Hidden Markov Models (HMM)
Create and apply models to any sequence of data to analyze, predict, and extract valuable insights
Use natural language processing...
Natural Language Annotation for Machine Learning
A Guide to Corpus-Building for Applications
Language: English
Release Date: October 11, 2012
Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms...
by Deepti Chopra, Nisheeth Joshi, Iti Mathur
Language: English
Release Date: June 10, 2016
Language: English
Release Date: June 10, 2016
Maximize your NLP capabilities while creating amazing NLP projects in Python
About This Book
Learn to implement various NLP tasks in Python
Gain insights into the current and budding research topics of NLP
This is a comprehensive step-by-step guide to help students and researchers create their...