Tomás Pariente Lobo – Atos Spain Final Review Meeting, Luxembourg. 20 November 2012 Conclusion

Overall Project Objectives TechnicalImpact 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 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 2

Project Achievements Technical 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 infrastructure 3 3,159 RSS feeds 15 million unique documents collected

Project Achievements Technical 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 infrastructure Hybrid Fuzzy sentiment Corpus Crisp sentiment 5 degrees of positive & negative sentiment Labeled by domain uc# experts Knowledge- based approach 4

Project Achievements Technical 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 infrastructure Enhanced Financial Decision Support Qualitative Modeling Machine Learning Techniques Visualization Techniques PriceVolaP&LAssess highlowgoodunacc medhighgoodunacc medMedgoodacc lowLowacc lowLowgood 5 Quantitative models for doc. categorization, P&D detection, and Twitter sentiment classification Qualitative models for RIM and P&D

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 infrastructure

Project Achievements Technical 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 infrastructure Market Surveillance Prototype for capital market surveillance Positive end-user feedback Reputational Risk RIM model Web interface Positive experts feedback Retail Brokerage Additional indicators (sentiment & tweet volume) Positive customer feedback 7 QualitativeQuantitativeVisualization

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 External usage / commercial

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 9 Large datasets of: Financial Webs, blogs, news, etc. Financial Tweets social Several financial scenarios explored FIRST OS infrastructure delivered professionals Glassbox model Open Sentify portal Downloadable Datasets citizens

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 Objects Features Sentiment Drill down The glassbox model Use cases Pump & Dump Market sounding Reputational risk Retail brokerage Future scenarios Sovereign Debt Market abuse Dataset usage…

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 Customer expectations New scenarios / usage Open Source Spin-off Competitive advantage for usecase providers

Good technical work High potential impact Future work

Thanks 13