Book Image

Cognitive Computing with IBM Watson

By : Rob High, Tanmay Bakshi
Book Image

Cognitive Computing with IBM Watson

By: Rob High, Tanmay Bakshi

Overview of this book

Cognitive computing is rapidly becoming a part of every aspect of our lives through data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system increases. This book introduces you to a whole new paradigm of computing – a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI with the help of IBM Watson APIs. This book will help you build your own applications to understand, and solve problems, and analyze them as per your needs. You will explore various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems. Equipped with the knowledge of machine learning concepts, how computers do their magic, and the applications of these concepts, you’ll be able to research and apply cognitive computing in your projects.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
About Packt

Categorizing text using Natural Language Classifier

Now that you've learned how to translate between different natural languages, let's take a look at an example of something that's even simpler: classifying sentences into categories.

For example, let's say that you're trying to analyze the sentiments of people on Twitter. But let's be a bit more specific: you're a data scientist working for an airline, and you want to see how people are reacting to your brand on social media. There are two difficulties here:

  • Social media is a complex ecosystem; each platform has its own share of people, often of different demographics, and therefore, a different culture around that platform. On Twitter, you'll see lots of hashtags, people tweeting about things that are trending, abbreviations, and more, that are specific to, or at least most prominent on, the Twitter platform.
  • People speak differently about airlines than they do about, say, a grocery store. They use different words, hashtags, and emojis. This...