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Natural Language Processing and Computational Linguistics

Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms Learn deep learning;

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Natural Language Processing With Python And Spacy

Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). The book uses spaCy, a leading;

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Python Natural Language Processing

is intended for Python developers who wish to start with natural language processing and want to make their applications smarter by implementing NLP;

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Python Text Processing with NLTK 2.0 Cookbook

samples, it will make the task of using the NLTK for Natural Language Processing easy and straightforward. This book is for Python programmers who;

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Natural Language Processing

classification with a focus on sentiment analysis, and distributed text processing methods. The third Mastering Natural Language Processing with Python;

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Building Chatbots with Python

information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building;

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Natural Language Processing Recipes

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises;

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Natural Language Processing in Action

a modern programming language such as Python, Java, C++, or JavaScript will be helpful. About the technology Natural;

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Hands-On Python Natural Language Processing

Get well-versed with traditional as well as modern natural language processing concepts and techniques Key Features Perform various NLP;

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Applied Natural Language Processing with Python

existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

with Python Scikit-Learn library is explained to audience with an emphasis on supervised learning and classification. Image processing on IoT;

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Python 3 Text Processing with NLTK 3 Cookbook

This book is intended for Python programmers interested in learning how to do natural language processing. Maybe you've learned the limits;

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An Introduction to Language Processing with Perl and Prolog

This book teaches the principles of natural language processing and covers linguistics issues. It also details the language-processing;

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Introduction to Transformers for NLP

language models Create a simple code generator in Python based on Transformer architecture Who This Book Is ForData Scientists and software;

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Introduction to Transformers for NLP

simple code generator in Python based on Transformer architecture Who This Book Is ForData Scientists and software developers interested;

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Deep Learning with Python

The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better. - Todd;

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Python for Data Science: A Hands-On Introduction

Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you;

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Text Analytics with Python

summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the;

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Natural Language Processing Fundamentals

Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems. Key Features;

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Natural Language Processing

in natural language processing, mathematical algorithms in natural language processing, and natural language in mobile systems. Section 1 focuses on;

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Text Analysis in Python for Social Scientists

variable, it is often difficult to extract the information we want. There is a whole subfield of AI concerned with text analysis (natural language;

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Practical Natural Language Processing with Python

algorithms work and a deeper dive on code and output in Python. Practical Natural Language Processing with Python follows a case study-based;

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Real-World Natural Language Processing: Practical Applications with Deep Learning

computer science PhD from Nagoya University in 2009, focusing on Natural Language Processing and machine learning. He has interned at Google and;

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The Natural Language Processing Workshop

Features Get familiar with key natural language processing (NLP) concepts and terminology Explore the functionalities and features of popular;

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Deep Learning for Natural Language Processing

sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing;

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Programming with TensorFlow

Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).;

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