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Page 1: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

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Se%ng"them"up"for"failure"–""How"customer"expecta9ons"collide"with""

economic"reali9es"of"text"analy9cs"

Page 2: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

About me!

CEO!uberMetrics Technologies GmbH!

Patrick Bunk!

Economist!

Founder and CEO of uberMetrics!Researcher DFG SFB649 Economic Risk!

Page 3: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

Long Term!

Knowledge!Management!

Search Engines!

Business Intelligence!

uberMetrics!

Search! Tracking & Discovery!

Internal Data!

External Data!

4!2. Marktpositionierung !

Page 4: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

The"(small)"Problem"

•  Companies want to know what customers & the public discuss!• Brands, Products & Companies!

Clippings / Press Review modernized!

•  Customers – Analytics, Alerts!•  Competition - Content Success, Benchmarking, Alerts!•  Supply Chain – Alerts!

Page 5: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

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How much data do they need?!!

• Mean 407,830 articles/month!• Median 26,928 articles/month !

Page 6: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

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What filters do they have?!

Page 7: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

(Social)"Media"Monitoring"

Counting mentions!•  over time!•  by source!•  by segment!•  by author!•  benchmarked with competitors!•  virality!

•  topics!•  sentiment distribution!

Page 8: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

Sen9ment"

•  simplifies complex realities intuitively!• meaningful categories!•  summable!

•  expectations gap!•  quality varying over

time and domains!• Better technology to

make customers happy?!

Page 9: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

Sen9mentEImprovements"

•  standard sentiment models 70-80% (customer measured) for about 0€!•  labor-based baseline for!

!! !! !sentiment & topics 1€/article!•  Tailor-made solution!

• Build a corpus, modelling!•  train a custom model!•  sell a proprietary classifier!• Minimum 60k€ setup + 60k€ recurring

for up to x articles/year!= one full time employee!

•  Crowd-based tagging 0.05€/article!

Page 10: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

Sen9mentEEconomics"

•  fixed cost of creating algorithm!•  fixed training-cost (time of an expert)!

•  Limited supply ! constant cost!•  deflationary economics of processing

power -> execution costs ! 0!•  Customer Acquisition Costs!

•  complex product!•  contractual limits of ML!•  consulting more pre- than post- signing!

Page 11: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

TextEMining"Challenges"

•  Testing algorithms on humanities majors!•  coping with failure gracefully!•  focus on generalized solutions!•  easy adaptibility by the end-user!•  be aware of manual labor substitute!•  Tailor-made Mining is at a local maximum pre scalable product!•  Automation through knowledge should be socially beneficial!•  commercial domain public high-quality data (Trade Registers etc)!•  copyrights and transferring data (Google Advantage)!

Page 12: Patrick Bunk: Setting them up for Failure – How Customer Expectations Collide with Economic Realities of Text Analytics

Thank You!

/uberMetrics!

/uberMetrics!


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