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Data Science Applications using Python and R: Text Analytics by Jeffrey Strickla

Description: Data Science Applications using Python and R by Jeffrey Strickland Data Science Applications using Python and R is the second book in a series that began in 2018. This volume is dedicated to text analytics and natural language processing. Using real data, the author leads the reader through the analysis of Tweet sentiment analysis, banking product-group complaint analysis, presidential debate analysis, and more. The book covers text mining, natural language processing (NLP), vectorizing text data, discrete classifiers, bag-of-words (BOW) models, sentiment analysis, and Latent Dirichlet Allocation (LDA). The book offers complete Python and R code with detail explanations. It is designed for use with Jupyter Notebook and R Studio. It also includes notes on Python and R markdown and features full color graphics and text on heavy paper. All data sets used in the book are downloadable from GitHub. Some data can also be customized and download ed from the Federal Consumer Complaint Data Catalog. Finally, each chapter contains practice exercises. FORMAT Hardcover LANGUAGE English CONDITION Brand New Author Biography LinkedIn: Related Books by the Author: Data Science Applications using R. Copyright (c) 2017. Jeffrey Strickland. Lulu, Inc. ISBN 978-0-359-81042-0, Predictive Crime Analysis using R. Copyright(c) 2018, Jeffrey Strickland. Lulu, Inc. ISBN 978-0-359-43159-5, Logistic Regression - Inside-Out. Copyright (c) 2017 by Jeffrey S. Strickland. Glasstree, Inc. ISBN 978-1-365-27041-3, Time Series Analysis using Open-Source Tools. Copyright(c) 2016, Jeffrey Strickland Glasstree, Inc. ISBN 978-1-5342-0100-2, Predictive Analytics using R. Copyright (c) 2016 by Jeffrey S. Strickland. Lulu.com. ISBN 978-1-312-84101-7, Data Analytics Using Open-Source Tools. Copyright (c) 2015 by Jeffrey Strickland. Lulu Inc. ISBN 978-1-365-21384-7, Data Science and Analytics for Ordinary People. Copyright (c) 2015 by Jeffrey S. Strickland. Lulu.com. ISBN 978-1-329-28062-5, Operations Research using Open-Source Tools. Copyright (c) 2015 by Jeffrey Strickland. Lulu Inc. ISBN 978-1-329-00404-7, Missile Flight Simulation - Surface-to-Air Missiles, 2nd Edition. Copyright (c) 2015 by Jeffrey S. Strickland. Lulu.com. ISBN 978-1-329-64495-3, Verification and Validation for Modeling and Simulation Copyright (c) 2014 by Jeffrey S. Strickland. Lulu.com. ISBN 978-1-312-74061-7, Mathematical Modeling of Warfare and Combat Phenomenon. Copyright (c) 2011 by Jeffrey S. Strickland. Lulu.com. ISBN 978-1-45839255-8, Simulation Conceptual Modeling. Copyright (c) 2011 by Jeffrey S. Strickland. Lulu.com. ISBN 978-1-105-18162-7, Discrete Event Simulation using ExtendSim 8. Copyright (c) 2010 by Jeffrey S. Strickland. Lulu.com. ISBN 978-0-557-72821-3 Long Description Data Science Applications using Python and R is the second book in a series that began in 2018. This volume is dedicated to text analytics and natural language processing. Using real data, the author leads the reader through the analysis of Tweet sentiment analysis, banking product-group complaint analysis, presidential debate analysis, and more. The book covers text mining, natural language processing (NLP), vectorizing text data, discrete classifiers, bag-of-words (BOW) models, sentiment analysis, and Latent Dirichlet Allocation (LDA). The book offers complete Python and R code with detail explanations. It is designed for use with Jupyter Notebook and R Studio. It also includes notes on Python and R markdown and features full color graphics and text on heavy paper. All data sets used in the book are downloadable from GitHub. Some data can also be customized and download ed from the Federal Consumer Complaint Data Catalog. Finally, each chapter contains practice exercises. Details ISBN1716896444 Author Jeffrey Strickland Pages 254 Publisher Lulu.com Year 2020 ISBN-10 1716896444 ISBN-13 9781716896446 Format Hardcover Publication Date 2020-08-23 Short Title Data Science Applications Using Python and R Language English Subtitle Text Analytics UK Release Date 2020-08-23 Imprint Lulu.com Place of Publication Morrisville Country of Publication United States AU Release Date 2020-08-23 NZ Release Date 2020-08-23 US Release Date 2020-08-23 Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131000412;

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Data Science Applications using Python and R: Text Analytics by Jeffrey Strickla

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ISBN-13: 9781716896446

Book Title: Data Science Applications using Python and R

Publisher: Lulu.Com

Publication Year: 2020

Subject: Computer Science, Business

Item Height: 229 mm

Number of Pages: 254 Pages

Language: English

Publication Name: Data Science Applications Using Python and R: Text Analytics

Item Weight: 630 g

Type: Textbook

Author: Jeffrey Strickland

Item Width: 152 mm

Format: Hardcover

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