Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Natural Language Processing Fundamentals

You're reading from   Natural Language Processing Fundamentals Build intelligent applications that can interpret the human language to deliver impactful results

Arrow left icon
Product type Paperback
Published in Mar 2019
Publisher
ISBN-13 9781789954043
Length 374 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Dwight Gunning Dwight Gunning
Author Profile Icon Dwight Gunning
Dwight Gunning
Sohom Ghosh Sohom Ghosh
Author Profile Icon Sohom Ghosh
Sohom Ghosh
Arrow right icon
View More author details
Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to Natural Language Processing FREE CHAPTER 2. Basic Feature Extraction Methods 3. Developing a Text classifier 4. Collecting Text Data from the Web 5. Topic Modeling 6. Text Summarization and Text Generation 7. Vector Representation 8. Sentiment Analysis Appendix

High-Level View of Text Summarization

We can look at the topic of text summarization from different angles. The following figure shows how we will proceed:

Figure 6.1: This diagram shows the ways in which we can classify text summarization

We will discuss each aspect of text suammarization in detail in the coming sections.

Purpose

There are a number of different angles from which we can view the topic of text summarization. First, we can look at the purpose of text summarization, where we are interested in knowing what people generally use it for. This is further divided into three parts:

  • Generic summarization: Text summarizers can operate on any text input of sufficient length and they can perform adequately on sources from many different domains. If your project objectives do not care what the domain is and can accept sources from many different fields, then you can use generic summarizers, possibly provided in a tool such as Gensim.
  • Domain...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image