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Perfect Text Analytics	,[object Object],Seth Redmore,[object Object],VP, Product Management,[object Object]
Perfect,[object Object],per·fect,[object Object],    [adj., n. pur-fikt; v. per-fekt],[object Object],1. conforming absolutely to the description or definition of an ideal type: a perfect sphere; a perfect gentleman.,[object Object],2. excellent or complete beyond practical or theoretical improvement: There is no perfect legal code. The proportions of this temple are almost perfect.,[object Object],2,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Text Analytics,[object Object],The term text analytics describes a set of linguistic statistical, and machine learning techniques that model and structure the information content of textual sources. (Wikipedia),[object Object],In other words, enhancing the value of text content by extracting entities, features, context, relationships and emotion.,[object Object],3,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Perfect is Fast,[object Object],Average Human Reading Speed:  250wpm,[object Object],Conservative computer reading speed: 6000 wpm/core (our speed on a moderate single core),[object Object],Each core is equivalent to the reading bandwidth of 12 people.,[object Object],Modern machines have 8 cores. ,[object Object],That’s just about 100 people in a box.  ,[object Object],Nice.,[object Object],4,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Perfect is Useable,[object Object],“I don’t like the results” is not the same as “the results are incorrect”,[object Object],Understanding the behavior key to usefulness,[object Object],Can you make better decisions?,[object Object],Can you make more money or save money?,[object Object],What is the most controversial area of text analytics?,[object Object],Thompson Reuters trading w/Sentiment Analysis increased Alpha (profit over market) by 80 basis points,[object Object],5,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Useable: How much can you differ?,[object Object],“In my shop, that up until now has relied exclusively on human coding, we consider anything below 90% to be unacceptably inaccurate…. There is no doubt that automated sentiment is getting much much better, but to suggest that people should be okay with 20% of their data being wrong is just absurd.”  Katie Delahaye Payne,[object Object],Why is 10% “wrong” so much less absurd than 20% “wrong”?,[object Object],20% Error,[object Object],10% Error,[object Object],6,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Perfect is Consistent,[object Object],Same results for same content, every time,[object Object],University of Pittsburgh “Multi-Perspective Question Answering” Corpus:  535 documents, 11k+ sentences.  ,[object Object],40 hours of training for each rater,[object Object],~80% inter-rater agreement,[object Object],7,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Perfect is (new) Knowledge,[object Object],Discover the stuff you don’t know,[object Object],Text Analytics is really, really great at telling you the who, the what, and the where.  Sometimes the “how”,[object Object],You have to supply the “why” – but that question is way easier to answer when you know the other “w’s and the h”,[object Object],8,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Perfect Includes Everything,[object Object],Running our top of the line software flat out across one year will cost you about $.002/document analyzed (news article sized content) (assuming 3 docs/core-second, 8 core machine),[object Object],The more data the better and the greater worth your ta has,[object Object],9,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Perfect is Trainable,[object Object],Can you solve YOUR business problem with it?,[object Object],Can you optimize to suit different kinds of content and roll those results up into a single reporting system?,[object Object],10,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Perfect Text Analytics,[object Object],11,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object],Fast,[object Object],Useable,[object Object],Consistent,[object Object],Knowledge,[object Object],(that is),[object Object],Inclusive,[object Object],Trainable,[object Object]
Customer Snapshots,[object Object],(or, “rubber, meet road”),[object Object]
Reputation Management,[object Object],13,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Politics,[object Object],14,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Market Intelligence,[object Object],Client Employee,[object Object],User ,[object Object],Authentication,[object Object],Single ,[object Object],Sign-on,[object Object],External Content Providers,[object Object],SinglePoint,[object Object],Client Company,[object Object],User ,[object Object],Authentication,[object Object],Web 2.0,[object Object],Collaboration,[object Object],Search Results,[object Object],Secondary,[object Object],Research,[object Object],Suppliers,[object Object],User ,[object Object],Authentication,[object Object],MI Analyst ,[object Object],Text Analytics,[object Object],Integrated,[object Object], Index,[object Object],News,[object Object],& Journals ,[object Object],NL Search Engine,[object Object],FIREWALL,[object Object],Internal,[object Object],Document ,[object Object],Repository,[object Object],Optional,[object Object],Document ,[object Object],Repository,[object Object],Financial ,[object Object],analyst ,[object Object],reports,[object Object],Internal  ,[object Object],research,[object Object],Content ,[object Object],Processing,[object Object],Custom Web ,[object Object],Crawls & Gov.,[object Object],Databases,[object Object],Trash,[object Object],can,[object Object],crawl, ,[object Object],FTP,[object Object],or CD,[object Object],15,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Hospitality,[object Object],16,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Financial Services,[object Object],Turns News into numbers for automatic trading systems,[object Object],[object Object]
Resilient server productAll right reserved © 2010 Lexalytics Inc.,[object Object],17,[object Object],Algorithmic,[object Object],Trading,[object Object],(QED firm),[object Object],Financial data,[object Object],Indicators,[object Object],Buy/Sell,[object Object],RNSE,[object Object],Server,[object Object],Indicators,[object Object],[object Object]
QED (Quantitative and Event-Driven Trading) Banks, hedge funds.
JPMorgan, SocGen, Alpha Equities…and others,[object Object]
Pharma,[object Object],19,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
The Next Year…,[object Object]
Opinion Mining,[object Object],Who said what about whom?,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object],21,[object Object]
Sarcasm, Twitter,[object Object],Model trained to detect sarcasm,[object Object],Once detected, you can decide what to do with it – because actually determining the sentiment is going to be unreliable,[object Object],New model trained on Twitter content,[object Object],Moving towards a concept of text analytics driven by business logic,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object],22,[object Object]
Thesaurus-based Theme Rollup,[object Object],Machine generated conceptual taxonomy,[object Object],Gas/Electric Hybrid and EV might roll up to EV,[object Object],Fewer themes, but very useful to detect patterns across content,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object],23,[object Object]
Foreign Language Support,[object Object],French is first, followed by other Romance languages,[object Object],New stemmer,[object Object],New summarization algorithm,[object Object],New part-of-speech tagger,[object Object],Automatic language detection,[object Object],New sentiment/entity extraction algorithms,[object Object],Also applicable to vertical specific content,[object Object],Confidence scoring by algorithm,[object Object],Use business logic to meld the results,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object],24,[object Object]
Trainable Entity Sentiment,[object Object],New technique for entity sentiment,[object Object],Initial results from testing in English extremely promising,[object Object],Average human scoring overlap of >> 90% for scored sentences,[object Object],Initially used only for French,[object Object],25,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object]
Tool Enhancements,[object Object],Eventually use on English content:,[object Object],Twitter,[object Object],Customer Satisfaction,[object Object],Others…,[object Object],Entity Management Toolkit  ,[object Object],Part of Speech Tagset training,[object Object],Using to train Salience on French,[object Object],Sentiment Toolkit,[object Object],Build your own entity sentiment models:,[object Object],French (first),[object Object],New Sentiment Toolkit + Maximum Entropy  model builder allows new Entity and Sentiment modules,[object Object],New EMT helps us build a new French PoS tagger,[object Object],Entity Extraction,[object Object],& Sentiment Models,[object Object],Fully ,[object Object],Tagged,[object Object],Document,[object Object],Doc,[object Object],POS Tagger,[object Object],26,[object Object],All right reserved © 2010 Lexalytics Inc.,[object Object],Themes,[object Object],&,[object Object],Summaries,[object Object]

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  • 16.
  • 17.
  • 18.
  • 19. QED (Quantitative and Event-Driven Trading) Banks, hedge funds.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.