The document outlines IBM Watson's Natural Language Understanding (NLU) capabilities, emphasizing its ability to process unstructured data, learn, reason, and interact naturally with humans. It discusses various applications of NLU, including data analysis and personalized recommendations, while also addressing challenges in visualizing information. The document introduces a product, NLU-map, which automates mind mapping by utilizing IBM Watson's NLU API to enhance data interpretation and visualization.

1. IBM WATSON™
NATURAL LANGUAGE UNDERSTANDING
+
MIND MAPPING
NLU-MAP
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 1
Image courtesy of hyward at
FreeDigitalPhotos.net

2. IBM WATSON™
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 2

3. Capabilities not found in traditional computing
systems
• Understand like humans do, processing
natural language and other unstructured data.
• Learn, getting more valuable with time.
• Reason. It understands underlying ideas and
concepts, form hypothesis, infers and extracts
concepts.
• Interact. It has abilities to see, talk and hear. It
can interact with humans in a natural way.
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 3

4. What can you do with IBM Watson™?
• Analyze and interpret all of your data,
including unstructured text, images, audio and
video.
• Use machine learning to grow the expertise in
your apps and systems.
• Provide personalized recommendations by
understanding the user’s personality, tone,
and emotion
• Create chat bots that can engage in dialog.
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 4

5. IBM WATSON™ NLU
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 5

6. Natural Language Understanding (NLU)
SEMANTIC ANALYSIS OF TEXT TO:
• Get insight
• Understand sentiment and emotion
Watson™ NLU Overview
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 6

7. Sources of information to analyze
• Social media & Blogs
• Articles
• Research reports
• Enterprise mail and e-mail
• Surveys
• Documents
• Voice transcriptions
• Chat
• News
• Knowledge bases
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 7

8. Types of use
• Social media monitoring
• Content recommendation
• Opinion mining
• Content profiling
• Add placement
• Buyer intent analysis
• Churn prevention
• Financial prediction
• Brand & product intelligence
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 8

9. Results of the analysis
• Entities
• Relations
• Keywords
• Concepts
• Categories
• Semantic roles
• Metadata
• Sentiment
• Emotion
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 9

10. Problems
• Too much information to visualize as linear
text.
• Disorientation when visualizing the results as
web pages.
• Lack of the whole picture view in both cases.
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 10

11. Solution
IBM Watson™ Natural Language Understanding
+ Mind Mapping automation
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 11
Introduction to mind mapping

12. NLU-MAP
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 12

13. NLU-MAP
SaaS product developed by Infoseg using IBM Watson™ NLU API
and our own software to automate the creation of mind maps.
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 13

14. Sample text to analyze
A Google takeover of at least part of HTC's business has been rumoured for some time.
Now that the Taiwanese firm has announced its shares are being suspended, speculation is rampant that an agreement has
been struck.
HTC made the first ever Android handset - the Dream - and is rumoured to be the manufacturer of one of the US firm's Pixel 2
models, which is set to be announced next month.
But Google has already struggled to integrate one phone-maker, Motorola Mobility, and it's not clear why it would want to
repeat the experience.
Yes, HTC has proven itself capable of developing unusual features - such as the squeeze-to-take-photos design of its recent
U11 - but it has repeatedly failed to launch a bestseller. And does Google really want to own HTC's factories at a time when
others, including Apple, are happy to outsource production?
An alternative deal could involve buying HTC's virtual reality business.
Image copyright Getty Images Image caption Might a takeover deal be limited to HTC's virtual reality division?
Its high-end Vive headset is reportedly outselling Facebook's Oculus Rift rival by a margin of nearly two-to-one - albeit with
still modest numbers - and is recognised by many as the superior system.
Moreover, Google already poached Vive's chief designer Claude Zellweger away at the start of the year for its own Daydream
VR effort.
Many believe virtual and augmented reality (in which graphics are mixed with real-world views) have the potential to
revolutionise how we interact with computers, but only after further huge sums are invested in R&D.
Cash-strapped HTC might thus be incapable of making the most of its early lead, while Google may be willing to dig deep to
give itself every advantage possible against Microsoft and Apple, which are also eyeing the space.
http://www.bbc.com/news/technology-41336090
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 14

15. Mind map created by NLU-MAP
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 15

16. Text included as a Note
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 16

17. Categories
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 17

18. Concepts
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 18

19. Detail of Concepts
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 19

20. Entities
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 20

21. Sentiment
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 21

22. Relations
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 22

23. Keywords
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 23

24. Semantic Roles
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 24

25. FUTURE DEVELOPMENTS
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 25

26. Services provided by IBM Watson™
• Discovery. To unlock actionable insights hidden in
unstructured data. Also Natural Language
Understanding to extract semantic information
from content.
• Conversation and vision. Conversation, Chatbots,
Visual Recognition.
• Speech and Empathy. Speech to Text, Text to
Speech, Personality Insights, Tone Analyzer.
• Language. Translator, Natural Language Classifier,
Retrieve and Rank the most relevant information
from a collection of documents.
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 26

27. Next developments
• Tone Analyzer. This will be an add-in for Outlook
so that users can see the tone of the messages
they are going to send. In this way users will be
confident that their messages do not contain
improper content.
• Chatbots. To create a summary of conversations
that can be analyzed later.
• Personality Insights. To obtain a psychological
portrait of a person as a mind map.
• Discovery. To visualize the result of searches in
collections of documents.
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 27

28. Interview
Interview for the Mindmapping software blog
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 28

29. MIND MAPPING BOOKS WRITTEN
BY JOSE M. GUERRERO
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 29

30. Introduction to the Applications of Mind Mapping in Medicine
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 30

31. C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 31
Introducción a la Técnica de Mapas Mentales
Gestión Visual de Información Compleja con
MindManager 16
http://www.editorialuoc.cat/introduccion-a-la-tecnica-de-mapas-mentales

32. C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 32
Co-author of
Federal Data Science and Advanced Analytics in
Agricultural Science: Transforming Government
and Policy using Artificial Intelligence
Chapter 8
Elsevier – Academic Press

33. Infoseg
http://www.slideshare.net/jmgf2009/presentations
https://twitter.com/InfosegS
http://paper.li/InfosegS/1356259200
José M. Guerrero
jm@infoseg.com
https://es.linkedin.com/in/josemguerrero2012
C) Infoseg, S.A. 2017 http://bit.ly/1Eimh3k 33