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href="https://nostarch.com/sites/default/files/styles/uc_product_full/public/NLP_frontcover_final.png?itok=oZytnBlT" title="Natural Language Processing Using Python" class="colorbox" rel="uc_image_0"><img class="img-responsive" src="https://nostarch.com/sites/default/files/styles/uc_product/public/NLP_frontcover_final.png?itok=Zpv-Yqd_" alt="Natural Language Processing Using Python" title="Natural Language Processing Using Python" /></a></div></div></div></div></div><div class="field field-name-entity-title field-type-ds field-label-hidden"><div class="field-items"><div class="field-item even"><h1 class="page-header">Natural Language Processing with Python and spaCy</h1></div></div></div><div class="field field-name-field-subtitle field-type-text field-label-hidden"><div class="field-items"><div class="field-item even">A Practical Introduction</div></div></div><div class="field field-name-field-author field-type-text field-label-hidden"><div class="field-items"><div class="field-item even">by Yuli Vasiliev</div></div></div><div class="field field-name-released-date field-type-ds field-label-hidden"><div class="field-items"><div class="field-item even">April 2020, 216 pp.</div></div></div><div class="field field-name-field-isbn13 field-type-text field-label-inline clearfix clearfix"><div class="field-label">ISBN-13: </div><div class="field-items"><div class="field-item even">9781718500525</div></div></div><div class="add-to-cart"><form action="/NLPPython" method="post" id="uc-product-add-to-cart-form-535" accept-charset="UTF-8"><div><div id="uc_product_add_to_cart_form-535-attributes" class="attributes"><div class="attribute attribute-1 odd"><div class="form-item form-item-attributes-1 form-type-radios form-group"><div id="edit-attributes-1" class="form-radios"><div class="form-item form-item-attributes-1 form-type-radio radio"> <label class="control-label" for="edit-attributes-1-3"><input type="radio" id="edit-attributes-1-3" name="attributes[1]" value="3" checked="checked" class="form-radio" />Print Book and FREE Ebook, $39.95</label> </div><div class="form-item form-item-attributes-1 form-type-radio radio"> <label class="control-label" for="edit-attributes-1-2"><input type="radio" id="edit-attributes-1-2" name="attributes[1]" value="2" class="form-radio" />Ebook (PDF, Mobi, and ePub), $30.95</label> </div></div></div></div></div><input type="hidden" name="qty" value="1" /> <input type="hidden" name="form_build_id" value="form-gIWhvPgnBPC6TZcnw1qkqcp_QjiQgkUZS3DbQrMdsns" /> <input type="hidden" name="form_id" value="uc_product_add_to_cart_form_535" /> <div class="form-actions form-wrapper form-group" id="edit-actions"><button class="node-add-to-cart btn btn-success form-submit icon-before" type="submit" id="edit-submit-535" name="op" value="Add to cart"><span class="icon glyphicon glyphicon-plus" aria-hidden="true"></span> Add to cart</button> </div></div></form></div><div class="field field-name-product-menu field-type-ds field-label-hidden"><div class="field-items"><div class="field-item even"><div class="menu-wrapper"><ul class="menu nav"><li><a href="#content">Contents</a></li><li><a href="#reviews">Reviews</a></li></ul></div></div></div></div><div class="field field-name-body field-type-text-with-summary field-label-hidden"><div class="field-items"><div class="field-item even"><p><b>Look Inside!</b></p> <div class="lookinside" style:=""> <a href="/images/NLP_back_cover.png" class="colorbox"><img src="/images/NLP_back_cover.png" title="Back Cover" alt="Natural Language Processing with Python and spaCy" style="border:1px solid; margin:5px; height:102px;" /></a><a href="/images/NLP_p8.png" class="colorbox"><img src="/images/NLP_p8.png" title="Chapter 1, Page 8" alt="Natural Language Processing with Python and spaCy" style="border:1px solid; margin:5px; height:102px;" /></a><a href="/images/NLP_p25.png" class="colorbox"><img src="/images/NLP_p25.png" title="Chapter 2, Page 25" alt="Natural Language Processing with Python and spaCy" style="border:1px solid; margin:5px; width:78px; height:102px; object-fit:cover;" /></a><a href="/images/NLP_p44.png" class="colorbox"><img src="/images/NLP_p44.png" title="Chapter 3, Page 44" alt="Natural Language Processing with Python and spaCy" style="border:1px solid; margin:5px; height:102px;" /></a><a href="/images/NLP_p64.png" class="colorbox"><img src="/images/NLP_p64.png" title="Chapter 5, Page 164" alt="Natural Language Processing with Python and spaCy" style="border:1px solid; margin:5px; width:78px; height:102px; object-fit:cover;" /></a><a href="/images/NLP_p100.png" class="colorbox"><img src="/images/NLP_p100.png" title="Chapter 7, Page 100" alt="Natural Language Processing with Python and spaCy" style="border:1px solid; margin:5px; width:78px; height:102px; object-fit:cover;" /></a><a href="/images/NLP_p156.png" class="colorbox"><img src="/images/NLP_p156.png" title="Chapter 11, Page 156" alt="Natural Language Processing with Python and spaCy" style="border:1px solid; margin:5px; width:78px; height:102px; object-fit:cover;" /></a><a href="/images/NLP_product.jpg" class="colorbox"><img src="/images/NLP_product.jpg" title="Natural Language Python" alt="Natural Language Python" style="border:1px solid; margin:5px; width:77px; height:102px; object-fit:cover;" /></a> </div> <style> <![CDATA[/* ><!]]>*/ </style><ul class="resources"> <li><u><a href="/download/samples/NLP_Vasiliev_ch2.pdf" target="new"><font color="black">Download Chapter 2: The Text-Processing Pipeline</font></a></u> (PDF)</li> <li><u><a href="https://github.com/nlptechbook/examples" target="new"><font color="black">Download the source code from GitHub</font></a></u></li> </ul> <p><br /></p> <p><i>Natural Language Processing with Python and spaCy</i> will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily. You’ll learn how to leverage the spaCy library to extract meaning from text intelligently; how to determine the relationships between words in a sentence (syntactic dependency parsing); identify nouns, verbs, and other parts of speech (part-of-speech tagging); and sort proper nouns into categories like people, organizations, and locations (named entity recognizing). You’ll even learn how to transform statements into questions to keep a conversation going.</p> <p>You’ll also learn how to: </p> <ul> <li> Work with word vectors to mathematically find words with similar meanings (Chapter 5) </li><li> Identify patterns within data using spaCy's built-in displaCy visualizer (Chapter 7) </li><li> Automatically extract keywords from user input and store them in a relational database (Chapter 9) </li><li> Deploy a chatbot app to interact with users over the internet (Chapter 11) </li></ul> <p><br /></p> <p>“Try This” sections in each chapter encourage you to practice what you’ve learned by expanding the book’s example scripts to handle a wider range of inputs, add error handling, and build professional-quality applications.</p> <p>By the end of the book, you’ll be creating your own NLP applications with Python and spaCy.<br /> <br /><br /> <b>Check out this video where the author discusses how to extract chatbot user input with Python and spaCy.</b></p> <iframe width="560" height="315" src="https://www.youtube.com/embed/oIP-38wA7ms" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen=""></iframe><p><br /></p> <style> <![CDATA[/* ><!]]>*/ </style><style> <![CDATA[/* ><!]]>*/ </style></div></div></div><div class="field field-name-field-author-bio field-type-text-long field-label-abovec"><div class="field-label">Author Bio </div><div class="field-items"><div class="field-item even"><p><b>Yuli Vasiliev</b> is a programmer, freelance writer, and consultant who specializes in open source development, Oracle database technologies, and natural language processing. </p> </div></div></div><div class="field field-name-field-toc field-type-text-long field-label-abovec" id="content"><div class="field-label">Table of contents </div><div class="field-items"><div class="field-item even"><p>Introduction</p> <p><b>Chapter 1:</b> How Natural Language Processing Works<br /> <b>Chapter 2:</b> The Text-Processing Pipeline<br /> <b>Chapter 3:</b> Working with Container Objects and Customizing spaCy<br /> <b>Chapter 4:</b> Extracting and Using Linguistic Features<br /> <b>Chapter 5:</b> Working with Word Vectors<br /> <b>Chapter 6:</b> Finding Patterns and Walking Dependency Trees<br /> <b>Chapter 7:</b> Visualizations<br /> <b>Chapter 8:</b> Intent Recognition<br /> <b>Chapter 9:</b> Storing User Input in a Database<br /> <b>Chapter 10:</b> Training Models<br /> <b>Chapter 11:</b> Deploying Your Own Chatbot<br /> <b>Chapter 12:</b> Implementing Web Data and Processing Images<br /> <b>Linguistic Primer</b></p> <p><a href="/download/samples/NLP_sample_ToC.pdf" target="_blank" style="text-decoration:underline;"><b>View the detailed Table of Contents</b></a><br /> <a href="/download/samples/NLP_sample_Index.pdf" target="_blank" style="text-decoration:underline;"><b>View the Index</b></a></p> </div></div></div><div class="field field-name-field-reviews field-type-text-long field-label-abovec" id="reviews"><div class="field-label">Reviews </div><div class="field-items"><div class="field-item even"><p>"A good resource for those programmers who want to learn to bridge the gap and write applications that anyone can use just by talking or writing to their machines and have the machine reply back." <b>—<a target="_blank">Jon Lazar</a></b></p> </div></div></div><div class="field field-name-field-extra-stuff field-type-text-long field-label-abovec"><div class="field-label">Extra Stuff </div><div class="field-items"><div class="field-item even"><p><a href="https://github.com/nlptechbook/examples" target="new"><b>Download the code from GitHub</b></a></p> <p>Check out this article by the author on Medium: <a href="https://medium.com/swlh/getting-straight-to-the-point-with-scraping-and-natural-language-processing-1a62aba65586" target="new"><b>Getting Straight to the Point with Scraping and Natural Language Processing</b></a></p> </div></div></div> </div> </div> </section> <section id="block-shariff-shariff-block" class="block block-shariff clearfix"> <div class="shariff" data-services="["facebook","print","twitter"]" data-theme="colored" data-orientation="horizontal" data-twitter-via="nostarch" data-lang="en"></div> </section> </div> </section> <aside class="col-sm-3" role="complementary"> <div class="region region-sidebar-second"> <section id="block-system-navigation" class="block block-system block-menu clearfix"> <h2 class="block-title">Navigation</h2> <ul class="menu nav"><li class="first last leaf"><a href="/user" title="">My account</a></li> </ul> </section> <section id="block-block-52" class="block block-block clearfix"> <p><a href="/mailchimp/subscribe">Want sweet deals? 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