Zetech University Library - Online Catalog

Mobile: +254-705278678

Whatsapp: +254-706622557

Feedback/Complaints/Suggestions

library@zetech.ac.ke

Amazon cover image
Image from Amazon.com
Syndetics cover image
Image from Syndetics
Image from Google Jackets
Image from OpenLibrary

Practical natural language processing : a comprehensive guide to building real-world NLP systems / Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana.

By: Contributor(s): Material type: TextTextPublication details: Beijing: O'Reilly, 2020Edition: First editionDescription: xxvii, 424 pages : illustrations ; 24 cmISBN:
  • 9781492054054
  • 1492054054
Subject(s): DDC classification:
  • 006.35 23
LOC classification:
  • QA76.9.N38 V35 2020
Contents:
Part 1. Foundations. NLP: a primer ; NLP pipeline ; Text representation -- Part 2. Essentials. Text classification ; Information extraction ; Chatbots ; Topics in brief -- Part 3. Applied. Social media ; E-commerce and retail ; Healthcare, finance, and law -- Part 4. Bringing it all together. The end-to-end NLP process.
Summary: "Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail."--
Tags from this library: No tags from this library for this title. Log in to add tags.

Includes bibliographical references and index.

Part 1. Foundations. NLP: a primer ; NLP pipeline ; Text representation -- Part 2. Essentials. Text classification ; Information extraction ; Chatbots ; Topics in brief -- Part 3. Applied. Social media ; E-commerce and retail ; Healthcare, finance, and law -- Part 4. Bringing it all together. The end-to-end NLP process.

"Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail."--

There are no comments on this title.

to post a comment.