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Applied Natural Language Processing with Python : Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing by Taweh Beysolow II (2018, Trade Paperback)

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Publication Date: 11/1/2018. Your Privacy. Condition Guide. Item Availability.

About this product

Product Identifiers

PublisherApress L. P.

ISBN-101484237323

ISBN-139781484237328

eBay Product ID (ePID)24038546870

Product Key Features

Number of PagesXv, 150 Pages

LanguageEnglish

Publication NameApplied Natural Language Processing with Python : Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

Publication Year2018

SubjectIntelligence (Ai) & Semantics, Natural Language Processing, Programming / Open Source, Programming Languages / Python

TypeTextbook

Subject AreaComputers

AuthorTaweh Beysolow II

FormatTrade Paperback

Dimensions

Item Weight16 Oz

Item Length9.3 in

Item Width6.1 in

Additional Product Features

Number of Volumes1 vol.

IllustratedYes

Table Of ContentChapter 1: What is Natural Language Processing?.- Chapter 2: Review of Machine Learning.- Chapter 3: Working with Raw Text.- Chapter 4: Word Embeddings and their application.- Chapter 5: Using Machine Learning with Natural Language Processing.

SynopsisLearn 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 algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment. What You Will Learn Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms Who This Book Is For You should be at least a beginner in ML to get the most out of this text, but you needn't feel that you need be an expert to understand the content.

LC Classification NumberQ334-342