{"product_id":"natural-language-processing-with-python-quick-start-guide-going-from-a-python-developer-to-an-effective-natural-language-processing-engineer-paperback","title":"Natural Language Processing with Python Quick Start Guide: Going from a Python developer to an effective Natural Language Processing Engineer - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eNirant Kasliwal\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBuild and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- A no-math, code-driven programmer's guide to text processing and NLP\u003c\/p\u003e\u003cp\u003e- Get state of the art results with modern tooling across linguistics, text vectors and machine learning\u003c\/p\u003e\u003cp\u003e- Fundamentals of NLP methods from spaCy, gensim, scikit-learn and PyTorch\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eNLP in Python is among the most sought after skills among data scientists. With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP.\u003c\/p\u003e\u003cp\u003eThe book takes you from the basics of NLP to building text processing applications. We start with an introduction to the basic vocabulary along with a work?ow for building NLP applications.\u003c\/p\u003e\u003cp\u003eWe use industry-grade NLP tools for cleaning and pre-processing text, automatic question and answer generation using linguistics, text embedding, text classifier, and building a chatbot. With each project, you will learn a new concept of NLP. You will learn about entity recognition, part of speech tagging and dependency parsing for Q and A. We use text embedding for both clustering documents and making chatbots, and then build classifiers using scikit-learn.\u003c\/p\u003e\u003cp\u003eWe conclude by deploying these models as REST APIs with Flask.\u003c\/p\u003e\u003cp\u003eBy the end, you will be confident building NLP applications, and know exactly what to look for when approaching new challenges\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Understand classical linguistics in using English grammar for automatically generating questions and answers from a free text corpus\u003c\/p\u003e\u003cp\u003e- Work with text embedding models for dense number representations of words, subwords and characters in the English language for exploring document clustering\u003c\/p\u003e\u003cp\u003e- Deep Learning in NLP using PyTorch with a code-driven introduction to PyTorch\u003c\/p\u003e\u003cp\u003e- Using an NLP project management Framework for estimating timelines and organizing your project into stages\u003c\/p\u003e\u003cp\u003e- Hack and build a simple chatbot application in 30 minutes\u003c\/p\u003e\u003cp\u003e- Deploy an NLP or machine learning application using Flask as RESTFUL APIs\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eProgrammers who wish to build systems that can interpret language. Exposure to Python programming is required. Familiarity with NLP or machine learning vocabulary will be helpful, but not mandatory.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 182\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.39 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 30, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48704299303161,"sku":"9781789130386","price":50.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/8F5M3KLesg9781789130386.webp?v=1784811814","url":"https:\/\/bookscloud.io\/products\/natural-language-processing-with-python-quick-start-guide-going-from-a-python-developer-to-an-effective-natural-language-processing-engineer-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}