text analytics & sentiment analysis - mathworks · 7 what is text analytics/nlp? artificial...
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1© 2019 The MathWorks, Inc.
Text Analytics & Sentiment Analysis
Alex Link, Application Engineer
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Big Picture
Topic Modeling
Un
str
uctu
red
Data
Str
uctu
red
Data
Social
Media
Database
In-house
Spreadsheets
Traditional Data
Analytics
Decision
Reports
Text Analytics
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Where is this data?
Data Sources for Big Data Analysis
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What is Text Analytics/NLP?
Artificial Intelligence
Machine
Learning
Deep Learning
Natural
Language
Processing
Text Analytics
= Natural Language Processing + Machine Learning
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Why now?
“About 80% of data of an organization processes daily is unstructured data” – Gartner 2018
60 to 80%
growth per year
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What is text analytics being used for today?
Key Applications
Sentiment Analysis
Topic Modeling
Text Classification
Text Generation
Voice of Customers
Market/Competitive Intelligence
Fraud/Legal Risk Detection
Compliance Check
Triage/Routing
Conversational Agents
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Sentiment Analysis
Other Applications:
• Automating the classification of reviews, whether positive or negative
• Analyzing surveys to understand why customers are satisfied or dissatisfied
• Assessing counterparty credit risk
Positive (+)(growth, advances,
up, strong)
Neutral Negative (-)(bust, difficulty,
lack, struggle)
Goal: Determining real-time sentiment scores for use in financial trading
strategies
Buy! Sell!
Hold
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Integrate
Deployment
(Desktop, Web, Enterprise)
Share and Integrate
Scale
Text Analytics Workflow
Raw Data
Preprocess
Clean Data
Access Text
Text, PDF, Word, Excel,
HTML
Visualize
Languages
Develop Predictive
Models
Statistics
Deep Learning
Machine Learning