Text graph-visualization redux
•Télécharger en tant que PPT, PDF•
1 j'aime•616 vues
This document discusses examples of persisting streaming text into a database for visualization. It describes extracting news from online sources, using natural language processing to convert the text to a visual diagram mapped into a graph database. The goal is to link concepts and events via natural language processing to visualize the story and build a mashup of linked data from other online sources for analysis and recommendations.
Recommandé
Recommandé
Contenu connexe
Tendances
Tendances (17)
En vedette
En vedette (20)
Similaire à Text graph-visualization redux
Similaire à Text graph-visualization redux (20)
Plus de Fitzgerald Analytics, Inc.
Plus de Fitzgerald Analytics, Inc. (16)
Dernier
Dernier (20)
Text graph-visualization redux
- 1. Text to Graph in real time Examples of persisting streaming text into DB for visualization
- 2. 1) News extracted from a social network( or any other online medium)
- 4. 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
- 6. Second Pass: Convert to visual diagram by applying NLP and mapping into Graph Database
- 7. Why Do it ? Link concepts and events via NLP to visualize the story:
- 8. Build a mash up from other online sources – “Linked Data”
- 9. Concept Mapping Features : Increasing Text Parsing Efficiency
- 15. • Why Do it ?
- 16. 5) Analyze links and “derived data” to build matching profile/recommendation Query 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.
- 17. Innovative Financial Data Visuals Software
- 18. Stock Touch : Stock “Heat Maps”
- 20. Centrifuge : Visual Network Analytics of Fraud
Notes de l'éditeur
- 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