Natural Language Processing Projects eBook
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Natural Language Processing Projects

Build Next-Generation NLP Applications Using AI Techniques

Akshay Kulkarni, Anoosh Kulkarni, Adarsha Shivananda

  • Apress

  • Publication date : 2021-12-03

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Leverage machine learning and deep learning techniques to build fully-fledged natural language processing (NLP) projects. Projects throughout this book grow in complexity and showcase methodologies, optimizing tips, and tricks to solve various business problems. You will use modern Python libraries and algorithms to build end-to-end NLP projects. 

The book starts with an overview of natural language processing (NLP) and artificial intelligence to provide a quick refresher on algorithms. Next, it covers end-to-end NLP projects beginning with traditional algorithms and projects such as customer review sentiment and emotion detection, topic modeling, and document clustering. From there, it delves into e-commerce related projects such as product categorization using the description of the product, a search engine to retrieve the relevant content, and a content-based recommendation system to enhance user experience. Moving forward, it explains how to build systems to find similar sentences using contextual embedding, summarizing huge documents using recurrent neural networks (RNN), automatic word suggestion using long short-term memory networks (LSTM), and how to build a chatbot using transfer learning. It concludes with an exploration of next-generation AI and algorithms in the research space. 


By the end of this book, you will have the knowledge needed to solve various business problems using NLP techniques.


What You Will Learn

  • Implement full-fledged intelligent NLP applications with Python
  • Translate real-world business problem on text data with NLP techniques
  • Leverage machine learning and deep learning techniques to perform smart language processing
  • Gain hands-on experience implementing end-to-end search engine information retrieval, text summarization, chatbots, text generation, document clustering and product classification,and more


Who This Book Is For

Data scientists, machine learning engineers, and deep learning professionals looking to build natural language applications using Python

About the book
Author
Akshay  Kulkarni , Anoosh  Kulkarni , Adarsha  Shivananda
Imprint
Apress
Collection
n.c
Publication date
2021-12-03
Pages
317 pages
Print ISBN
9781484273852
Language
English
Ebook informations
EAN PDF
9781484273869
Price
£54.99
Read more
Copy count 3
Print count 31
File size 13670 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9781484273869
Price
£54.99
Read more
Copy count 3
Print count 31
File size 18340 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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