A new approach in FFG to achieve

deeper insights into project data

TAFTIE Expert Session

Sept 14, 2017

Harald Hochreiter, Daniel Vilsecker

Text Mining

INNOVATION MAPPING IN FFG

FFG tried to map innovation trends from the projects we

fund

Thematic teams were created who met every 1-2 months

to discuss projects and exchange experience (eg. mobility,

services)

Worked well for short term requests and strengthened

thematic bridges between programmes and departments

Did not succeed in identifying larger trends or develop

thematic briefings that stakeholders would have been

interested in

1 sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at

SENTIMENT ANALYSIS

2 sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at

MACHINE LEARNING

Deepminds AlphaGo

computer program has

recentely beat the

human world champions

of Go

3 sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at

TEXT MINING

4 sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at

Text Mining

DEFINITION OF TEXT MINING

The overarching goal is to turn text into data for analysis,

via application of natural language processing (NLP) and

analytical methods.

Text analysis involves information retrieval, lexical analysis

to study word frequency distributions, pattern recognition,

tagging/annotation, information extraction, data mining

techniques including link and association analysis,

visualization, and predictive analytics. (Source: Wikipedia)

6 sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at

WORD CLOUD OF MPG ACTIVITY REPORT

7 sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at

K-Means Clustering

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FFG DATA

20.000 project applications

12.750 abstracts selected (german only, excluded specific

programmes)

Analysed with unsupervised k-means clustering aiming at

15 clusters

Clusters containing between 238 and 2486 projects

9 sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at

Clustering vs SIC codes (Standard Industrial Classification codes)

K-Means Clustering (k=15)

sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at 11

2486 2222

1344

1027 855 831

750 676

486

451 450

322

319

289 238

Clusters contain between 238 and 2486 projects

INDIVIDUAL CLUSTER

sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at 12

kund

softwar

mobil

plattform

servic

produkt

automat

digital

app

technisch

prototyp

onlin

markt

1344

INDIVIDUAL CLUSTER

sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at 13

patient

klinisch

medizin

studi

behandl

erkrank

human

zell

wirksam

antikorp

wirkstoff

substanz

therapeut

450

Clustering result vs SIC Codes

sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at 14

Identify trends over time

1.279 PROJECTS IN 2012

16 sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at

software / application

/ platform

web /

system /

mobil

production /

construction

component

/ wood /

plastic

material /

steel

/ceramic

raw

material

/

biomass processing /

building

surface /

purification

packaging /

resilent

substrate /

bacteria

medicine /

patient

vaccine /

disease

laser /

visual sensor /

calculate

media /

social

building /

smart grid

/ energy

facility /

heat pump

/ electicity

led /

durability /

battery

score /

education

woman /

needs

child /

youth

pupil /

teaching

engine /

gas vehicle /

hybrid

1.382 PROJECTS IN 2013

17 sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at

sensor / engine /

automatic / control

service /

platform /

onilne

waste /

processing alloy /

copper

surface /

lamination /

diagnostic

cell /

protein patient / clinical

mobil /

software

smart grid

/ energy

facility /

photovoltaic child /

youth

women /

men / social

vehicle /

driving

traffic /

multimodal

big data /

country

IEA / tool

optical /

led

visualization /

real-time

component /

manufacturing

raw material /

chemical

emission / fuel

/ biomass

material / steel

/ consolidation

solar /

concept

hybrid /

adaptive

Self Organising Maps (SOM)

SOM Example (Scatter View)

sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at 22

SOM Example (Density View)

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Next steps

NEXT STEPS

Work on visualisation (heatmaps et al)

Start working on supervised learning using ontologies

(e.g.: which projects contain aspects of digitisation?)

Analyse individual sectors (e.g.: what are the research

trends in the forest industry?)

Scale up and integrate it into routine data analysis

25 sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at

FEEDBACK AND DISCUSSION

Comments?

Questions?

Suggestions?

Thank you!

26 sterreichische Forschungsfrderungsgesellschaft | Sensengasse 1 | 1090 Wien | www.ffg.at