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
The Applied AI and Natural Language Processing Workshop

You're reading from   The Applied AI and Natural Language Processing Workshop Explore practical ways to transform your simple projects into powerful intelligent applications

Arrow left icon
Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800208742
Length 384 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (3):
Arrow left icon
Ruze Richards Ruze Richards
Author Profile Icon Ruze Richards
Ruze Richards
Krishna Sankar Krishna Sankar
Author Profile Icon Krishna Sankar
Krishna Sankar
Jeffrey Jackovich Jeffrey Jackovich
Author Profile Icon Jeffrey Jackovich
Jeffrey Jackovich
Arrow right icon
View More author details
Toc

Table of Contents (8) Chapters Close

Preface
1. An Introduction to AWS 2. Analyzing Documents and Text with Natural Language Processing FREE CHAPTER 3. Topic Modeling and Theme Extraction 4. Conversational Artificial Intelligence 5. Using Speech with the Chatbot 6. Computer Vision and Image Processing Appendix

Amazon Comprehend—Topic Modeling Guidelines

The most accurate results are obtained if you provide Comprehend with the largest possible corpus. More specifically:

  • You should use no fewer than 1,000 records in every subject.
  • Each document ought to be something like three sentences in length.
  • If a document comprises, for the most part, numeric information, you should expel it from the corpus.

Currently, Topic Modeling is limited to two document languages: English
and Spanish.

A Topic Modeling job allows two format types for input data (refer to the following Figure 3.1). This allows users to process both collections of large documents (for example, newspaper articles or scientific journals), and short documents (for example, tweets or social media posts).

Input Format Options:

Figure 3.1: AWS Comprehend—Topic Modeling input format options

Output Format Options:

Figure 3.2: AWS Comprehend—...

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