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IBM Watson Projects

You're reading from   IBM Watson Projects Eight exciting projects that put artificial intelligence into practice for optimal business performance

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789343717
Length 340 pages
Edition 1st Edition
Languages
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Authors (2):
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Armen Pischdotchian Armen Pischdotchian
Author Profile Icon Armen Pischdotchian
Armen Pischdotchian
James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Toc

Table of Contents (12) Chapters Close

Preface 1. The Essentials of IBM Watson FREE CHAPTER 2. A Basic Watson Project 3. An Automated Supply Chain Scenario 4. Healthcare Dialoguing 5. Social Media Sentiment Analysis 6. Pattern Recognition and Classification 7. Retail and Personalized Recommendations 8. Integration for Sales Forecasting 9. Anomaly Detection in Banking Using AI 10. What's Next 11. Other Books You May Enjoy

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...

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