Book Image

IBM Watson Projects

By : James D. Miller
Book Image

IBM Watson Projects

By: James D. Miller

Overview of this book

IBM Watson provides fast, intelligent insight in ways that the human brain simply can't match. Through eight varied projects, this book will help you explore the computing and analytical capabilities of IBM Watson. The book begins by refreshing your knowledge of IBM Watson's basic data preparation capabilities, such as adding and exploring data to prepare it for being applied to models. The projects covered in this book can be developed for different industries, including banking, healthcare, media, and security. These projects will enable you to develop an AI mindset and guide you in developing smart data-driven projects, including automating supply chains, analyzing sentiment in social media datasets, and developing personalized recommendations. By the end of this book, you'll have learned how to develop solutions for process automation, and you'll be able to make better data-driven decisions to deliver an excellent customer experience.
Table of Contents (12 chapters)

Sentiment

The sentiment visualization feature can be leveraged to gain an understanding of the tone of the social media content found during analysis. Sentiment is grouped by the topics that were specified when setting up the project. Relative sentiment shows the dispersion of constructive, undesirable, unbiased, and undecided sentiments. Sentiment terms are phrases that measure the feel of a mention. Sentiment shows whether a mention is good or bad. A mention is branded as undecided when it has the same number of good and bad sentiment phrases. A mention is branded as neutral when no sentiment terms are detected in it.

The sentiment trend chart illustrates the number of mentions by day, spanning the time range of our project, as shown in the following screenshot:

Sentiment trend chart

In our project, the visualization indicates to us that positive mentions are more common...