Conference on Artificial Intelligence at Politecnico di Milano with Society AICT

1. IBM Watson
Natural LanguageProcessing
Conferenza Intelligenza Artificiale, Politecnico di Milano e AICT – Milano, 5 ottobre 2017
Ing. Roberto Villa
Manager of Human Centric practice and Research ecosystem, IBM

2. The biggest taxi company
owns no cars.
The largest accommodation company
owns no real estate.
The biggest media company
owns no content.
The largest retailer
carries no inventory.
VIDEO: https://www.youtube.com/watch?v=P18EdAKuC1U

3. Three capabilities differentiatecognitive systems from
traditionalprogrammedcomputingsystems…
Reasoning
They reason. They understand
underlying ideas and concepts. They
form hypothesis. They infer and extract
concepts.
Learning
They never stop learning getting more
valuable with time. Advancing with
each new piece of information,
interaction, and outcome. They
develop “expertise”.Understanding
Cognitive systems understand like
humans do.
…. allowingthem to interactwith humans.

4. 4
Examples include:
Analyst reports
tweets
Wire tap transcripts
Battlefield docs
E-mails
Texts
Forensic reports
Newspapers
Blogs
Wiki
Court rulings
International crime database
Stolen vehicle data
Missing persons data
Data, information, and expertise create the
foundation.
Cognitive systems rely on collections of data and information:

5. Retrieve and Rank
5
Entity Extraction
Sentiment Analysis
Emotion Analysis (Beta)
Keyword Extraction
Concept Tagging
Taxonomy Classification
Author Extraction
Language Detection
Text Extraction
Microformats Parsing
Feed Detection
Linked Data Support
Concept Expansion
Concept Insights
Dialog
Document Conversion
Language Translation
Natural Language Classifier
Personality insights
Relationship Extraction
Retrieve and Rank
Tone Analyzer
Emotive Speech to Text
Text to Speech
Face Detection
Image Link Extraction
Image Tagging
Text Detection
Visual Insights
Visual Recognition
AlchemyData News
Tradeoff Analytics
50 underlying technologies
…and then leverage Watson APIs to apply cognitivecapabilities
Natural Language Classifier
Tone Analyzer

6. Watson
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Watson Natural Language Understanding

7. Watson
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THE SOLUTION:
THE IBM WATSON NATURAL LANGUAGE SERVICE UNDERSTANDING ENABLES DEVELOPERS
TO EXTRACT INSIGHTS FROM UNSTRUCTURED TEXT TO POWER A NEW GENERATION OF
COGNITIVE APPS.
IBM Watson Natural Language Understanding7
PROBLEM:
INABILITY TO MINE UNSTRUCTURED DATA AND LACK
OF SKILLS IN MACHINE LEARNING.
Unstructured data can come in many forms:
> free format text fields
> picture
> video
> audio
Text analytics deals with free format text fields, from:
> email content
> a web page
> a word document
> a pdf file

8. Watson
Narrative
IBM Watson Natural Language Understanding
IBM WATSON NATURAL LANGUAGE UNDERSTANDING
Natural language processing for advanced text analysis
A sophisticated suite of natural language processing capabilities to analyze
text and extract meta-data from content such as concepts, entities,
keywords, categories, sentiment, emotion, relations, semantic roles, with
options for customization to specific industries and domains.
Example Use Cases
Extract people, places, companies and other entities mentioned in a news
article or text
Demo:
https://natural-language-understanding-demo.mybluemix.net/
Documentation:
https://www.ibm.com/watson/developercloud/doc/natural-language-understanding/

9. Watson
Narrative
HOW IT WORKS
IBM Watson Natural Language Understanding makes value-driven decisions easy by giving you the full story behind all of your data.

10. Watson
Narrative
FEATURES
Keywords: Determine the most important keywords in your content.
Concepts: Identify general concepts in your content.
Categories: Categorize your content into a hierarchical 5-level taxonomy.
Entities: Detect important people, places, geopolitical entities and other types of entities.
Sentiment: Determine whether your content conveys positive or negative sentiment.
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Emotion: Detect emotions such as anger, disgust, fear, joy or sadness that are conveyed by your
content.
Relations: Identify relationships between entities in your content.
Semantic roles: Identify the subjects of actions, and the objects that they act upon.
Metadata: Get author information, publication date and the title of your text or HTML content.
Custom models: Use IBM Watson Knowledge Studio to collaborate on the creation of custom
annotation models.

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HOW CAN I APPLY WATSON NATURAL LANGUAGE UNDERSTANDING?
Business intelligence: How can I gather business intelligence from unstructured text to create dashboards and reports?
Social media monitoring: How do I extract insights from monitoring social media?
Content recommendation: How can I recommend content that readers might like?
Brand management: How can I know what consumers are saying about my brand?
Advertising optimization: Where should I place my ads so that I get to the right audience?
IBM Watson Natural Language Understanding18
Customer Care & Brand
Management
Problem: Inability to quantify/extract
meaning from social media and
customer feedback
Value: Improve customer satisfaction
and loyalty, Improve decision making
Business & Competitive
Intelligence
Problem: Inability to use unstructured
internal/external data for decision
making
Value: Reduction in staff/improved
productivity
Clustering (Matching, Ad-
tech, Recommendation)
Problem: Inability to match offers,
people, advertising and other content to
interests and intent
Value: Improved conversions and time
on site

19. Extract insight from Social Media with Watson Natural Language Understanding
VIDEO: https://www.youtube.com/watch?v=P18EdAKuC1U

20. Extract insight from
Social Media with
Watson Natural
Language Understanding
Based on CDC gov. data ( Center for Disease Control)

21. Extract insight from Social Media with Watson Natural Language Understanding
The institute’s NLUsystemat Osnabrück Universityexamines
approximately 500millionEnglishtweetsworldwide everyday

22. Watson
Narrative
REFERENCES
https://natural-language-understanding-demo.mybluemix.net/
https://www.ibm.com/watson/developercloud/doc/natural-language-understanding/
https://www.youtube.com/watch?v=Oba-oXJ4jM8
http://www.flu-prediction.com/about
IBM Watson Natural Language Understanding22