Text graph-visualization redux

581 views
442 views

Published on

Vasco Yordanov and Satyugjit (Sat) Virk co-presented this at our Analytics and Financial Services meetup in December 2012. They present an interesting method of visualization called Concept Maps, illustrated with concrete use cases in Finance and other industries.

Published in: Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
581
On SlideShare
0
From Embeds
0
Number of Embeds
5
Actions
Shares
0
Downloads
9
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • Green = gaining Red = losing Can zoom in and out of heat map, to see entire market, or zoom in on a heat map comprised of the stocks for a particular sector
  • Make other maps, graded colors, for things like price, volume, etc.
  • Bigger the node, more money is at stake, Show by frequency of fraud alerts Shows interconnections between customers, see how possible fraud transactions can affect others
  • Text graph-visualization redux

    1. 1. Text to Graph in real timeExamples of persisting streaming text into DB for visualization
    2. 2. 1) News extracted from a social network( or any other online medium)
    3. 3. 2) First pass: Automated data extraction:• Companies:Watson Pharmaceuticals,Sanofi Aventis,Anda Inc• Product: Avapro,Irbesartan• Terms:Generic drug, Treatmant of hypertension,• Event: Company Affiliation, FDAPhase , CompanyProduct
    4. 4. Second Pass: Convert to visual diagram by applying NLP and mapping into Graph Database
    5. 5. Why Do it ?Link concepts and events via NLP to visualize the story:
    6. 6. Build a mash up from otheronline sources – “Linked Data”
    7. 7. Concept Mapping Features :Increasing Text Parsing Efficiency
    8. 8. • Why Do it ?
    9. 9. 5) Analyze links and “derived data” to build matching profile/recommendationQuery derived links from news story to augment facts and aggregate more data, which in turn can be applied towards custom recommendations.The software will be able to identify automatically without human intervention relations between companies and people and query in depth consequences of event ( Affiliates – “Renewable Ventures - investment -Xcel Energy-bid Univ of Colorado-bid solar installation- AMEX plc –implementation-key people-competitors-technologies involved –OPPORTUNITY :match/recommendation against existing facts in the database!Single use case examined here – there are hundreds like these parsed each day.Potential for reference data and opportunity indexing.
    10. 10. Innovative Financial Data Visuals Software
    11. 11. Stock Touch : Stock “Heat Maps”
    12. 12. Centrifuge : Visual Network Analytics of Fraud

    ×