Final Review Meeting Luxembourg 20 November 2012 Conclusion Overall Project Objectives Technical Impact Near realtime and scalable financial unstructured data acquisition extraction analysis integration and visualization ID: 515140
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Tomás Pariente Lobo – Atos SpainFinal Review Meeting, Luxembourg. 20 November 2012
ConclusionSlide2
Overall Project Objectives
Technical
Impact
Near real-time
and scalable financial
unstructured data acquisition, extraction, analysis, integration, and visualization pipelineWell grounded, deep semantic sentiment analysis (using financial and knowledge representation theories)Advanced financial decision support models based on high-level featuresAdvanced real-time visualization techniquesReal-world use cases using the underlying FIRST infrastructure
Open source and commercial versions to maximize business possibilities.Increase the ability to exploit very large financial information spaces for citizens and professionals.Decrease information asymmetry and increase market transparency at the financial markets and thus contribute to making such markets more trustworthy.Increase the competitiveness of European financial service providers and institutions
2Slide3
Project Achievements
Technical
Near real-time
and scalable financial
unstructured data acquisition, extraction, analysis, integration, and visualization
pipelineWell grounded, deep semantic sentiment analysis (using financial and knowledge representation theories)Advanced financial decision support models based on high-level features
Advanced real-time visualization techniquesReal-world use cases using the underlying FIRST infrastructure
3
3,159 RSS feeds
15 million unique documents collectedSlide4
Project Achievements
Technical
Near real-time
and scalable financial
unstructured data acquisition, extraction, analysis, integration, and visualization
pipelineWell grounded, deep semantic sentiment analysis (using financial and knowledge representation theories)Advanced financial decision support models based on high-level featuresAdvanced real-time visualization techniquesReal-world use cases using the underlying FIRST infrastructure
5 degrees of positive & negative sentimentLabeled by domain uc# experts
Knowledge-based approach
4Slide5
Project Achievements
Technical
Near real-time
and scalable financial
unstructured data acquisition, extraction, analysis, integration, and visualization
pipelineWell grounded, deep semantic sentiment analysis (using financial and knowledge representation theories)Advanced financial decision support models based on high-level featuresAdvanced real-time visualization techniquesReal-world use cases using the underlying FIRST infrastructure
PriceVolaP&L
Assesshighlowgood unaccmedhighgood
unacc
med
Med
good
acc
low
Low
acc
acc
low
Low
good
good
5
Quantitative models for
doc. categorization
,
P&D detection
, and Twitter sentiment classification
Qualitative models for RIM and P&DSlide6
Project Achievements
Technical
Gauge
Canyon
Confidence
Sentiment
with volume
…
6
Near real-time
and scalable financial
unstructured data acquisition, extraction, analysis, integration, and visualization
pipeline
Well grounded, deep
semantic sentiment analysis
(using financial and knowledge representation theories)
Advanced
financial decision support models
based on high-level features
Advanced
real-time visualization
techniques
Real-world
use cases
using the underlying FIRST infrastructureSlide7
Project Achievements
Technical
Near real-time
and scalable financial
unstructured data acquisition, extraction, analysis, integration, and visualization
pipelineWell grounded, deep semantic sentiment analysis (using financial and knowledge representation theories)Advanced financial decision support models based on high-level featuresAdvanced real-time visualization techniquesReal-world use cases using the underlying FIRST infrastructure
7
Qualitative
Quantitative
VisualizationSlide8
Project Achievements
Impact
Open source and commercial versions
to maximize business possibilities.
Increase the ability to
exploit very large financial information spaces for citizens and professionals.Decrease information asymmetry and increase market transparency at the financial markets and thus contribute to making such markets more trustworthy.Increase the competitiveness of European financial service providers and institutions
8
Proprietary
https://github.com/project-first
External usage
/ commercialSlide9
Project Achievements
Impact
Open source and commercial versions
to maximize business possibilities.
Increase the ability to
exploit very large financial information spaces for citizens and professionals.Decrease information asymmetry and increase market transparency at the financial markets and thus contribute to making such markets more trustworthy.Increase the competitiveness of European financial service providers and institutions
9Slide10
Project Achievements
Impact
Open source and commercial versions
to maximize business possibilities.
Increase the ability to
exploit very large financial information spaces for citizens and professionals.Decrease information asymmetry and increase market transparency at the financial markets and thus contribute to making such markets more trustworthy.Increase the competitiveness of European financial service providers and institutions
10
Document
sentences
Objects
Features
Sentiment
Drill down
X
The glassbox modelSlide11
Project Achievements
Impact
Open source and commercial versions
to maximize business possibilities.
Increase the ability to
exploit very large financial information spaces for citizens and professionals.Decrease information asymmetry and increase market transparency at the financial markets and thus contribute to making such markets more trustworthy.Increase the competitiveness of European financial service providers and institutions
11
Competitive advantage for financial services providers
Competitive advantage for usecase providers Slide12Slide13
Thanks
13