Mastering Natural Language Processing with Python

Release on 2016-06-10 | by Deepti Chopra

Author: Deepti Chopra
Publisher: Packt Publishing Ltd
ISBN: 9781783989058
Category: Computers
Page: 238
View: 411

Mastering Natural Language Processing with Python

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 own projects based on real-life applications Who This Book Is For This book is for intermediate level developers in NLP with a reasonable knowledge level and understanding of Python. What You Will Learn Implement string matching algorithms and normalization techniques Implement statistical language modeling techniques Get an insight into developing a stemmer, lemmatizer, morphological analyzer, and morphological generator Develop a search engine and implement POS tagging concepts and statistical modeling concepts involving the n gram approach Familiarize yourself with concepts such as the Treebank construct, CFG construction, the CYK Chart Parsing algorithm, and the Earley Chart Parsing algorithm Develop an NER-based system and understand and apply the concepts of sentiment analysis Understand and implement the concepts of Information Retrieval and text summarization Develop a Discourse Analysis System and Anaphora Resolution based system In Detail Natural Language Processing is one of the fields of computational linguistics and artificial intelligence that is concerned with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning. This book will give you expertise on how to employ various NLP tasks in Python, giving you an insight into the best practices when designing and building NLP-based applications using Python. It will help you become an expert in no time and assist you in creating your own NLP projects using NLTK. You will sequentially be guided through applying machine learning tools to develop various models. We'll give you clarity on how to create training data and how to implement major NLP applications such as Named Entity Recognition, Question Answering System, Discourse Analysis, Transliteration, Word Sense disambiguation, Information Retrieval, Sentiment Analysis, Text Summarization, and Anaphora Resolution. Style and approach This is an easy-to-follow guide, full of hands-on examples of real-world tasks. Each topic is explained and placed in context, and for the more inquisitive, there are more details of the concepts used.

Language: en
Pages: 238

Mastering Natural Language Processing with Python

Authors: Deepti Chopra, Nisheeth Joshi, Iti Mathur

Categories: Computers

Type: BOOK - Published: 2016-06-10 - Publisher: Packt Publishing Ltd

Language: en
Pages: 687

Natural Language Processing: Python and NLTK

Authors: Nitin Hardeniya, Jacob Perkins, Deepti Chopra, Nisheeth Joshi, Iti Mathur

Categories: Computers

Type: BOOK - Published: 2016-11-22 - Publisher: Packt Publishing Ltd

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 insights into the current and budding

Language: en
Pages: 312

Hands-On Natural Language Processing with Python

Authors: Rajesh Arumugam, Rajalingappaa Shanmugamani

Categories: Computers

Type: BOOK - Published: 2018-07-18 - Publisher: Packt Publishing Ltd

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 such as CNNs and RNNs Book

Language: en
Pages: 182

Natural Language Processing with Python Quick Start Guide

Authors: Nirant Kasliwal

Categories: Computers

Type: BOOK - Published: 2018-11-30 - Publisher: Packt Publishing Ltd

Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning Key Features A no-math, code-driven programmer’s guide to text processing and NLP Get state of the art results with modern tooling across linguistics, text vectors and machine

Language: en
Pages: 418

Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection

Authors: Fernando De La Prieta, Philippe Mathieu, Jaime Andrés Rincón Arango, Alia El Bolock, Elena Del Val, Jaume Jordán Prunera, João Carneiro, Rubén Fuentes, Fernando Lopes, Vicente Julian

Categories: Computers

Type: BOOK - Published: 2020-07-06 - Publisher: Springer Nature

This book constitutes the refereed proceedings of the workshops co-located with the 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2020, held in L’Aquila, Italy, in October 2020. The total of 21 full and 13 short papers presented in this volume were carefully reviewed and selected