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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

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781800208742

Length 384 pages

Edition 1st Edition

Languages

Processing

Tools

AWS

Concepts

Artificial Intelligence

Authors (3):

Ruze Richards

Krishna Sankar

Jeffrey Jackovich

View More author details

Table of Contents (8) Chapters

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

3. Topic Modeling and Theme Extraction

Overview

This chapter describes the use of Topic Modeling to understand common themes in a document set by analyzing documents using Amazon Comprehend. You will learn the fundamentals of the algorithm used for Topic Modeling, Latent Dirichlet Allocation (LDA). Learning LDA will allow you to apply Topic Modeling to a multitude of unique business cases. You will then perform Topic Modeling on two documents with a known topic structure. By the end of this chapter, you will be able to extract and analyze common themes through Topic Modeling with Amazon Comprehend and describe the basics of Topic Modeling analysis. You will also be able to perform Topic Modeling on a set of documents and analyze the results.

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Authors (3)

Krishna Sankar

Krishna Sankar

Krishna Sankar is an AI data scientist with Volvo Cars focusing on autonomous vehicles. Previously, he was the chief data scientist at blackarrow, where he was focusing on optimizing user experience via inference, intelligence, and interfaces. He was the director of a data science/bioinformatics startup and also worked as a distinguished engineer at Cisco. He has been speaking at various conferences as well as guest lecturing at the Naval Postgraduate School. His other passion is Lego Robotics. You'll find him at the St.Louis FLL World Competition as the robot design judge.

See other products by Krishna Sankar

Jeffrey Jackovich

Jeffrey Jackovich

Jeffrey Jackovich is a curious data scientist with a background in health-tech and mergers and acquisitions. He has extensive business-oriented healthcare knowledge but enjoys analyzing all types of data with R and Python. He loves the challenges involved in the data science process, and his ingenious demeanor was tempered while serving as a Peace Corps volunteer in Morocco. He is completing a master's of science in computer information systems from Boston University, with a data analytics concentration.

See other products by Jeffrey Jackovich

Ruze Richards

Ruze Richards

Ruze Richards is a data scientist and cloud architect who has spent most of his career building high-performance analytics systems for enterprises and startups. He is passionate about AI and machine learning. He began his career as a physicist, felt excited about neural networks, and started working at AT&T Bell Labs to further pursue this area of interest. He is thrilled to spread the knowledge and help people achieve their goals.

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