ai one - who is bad


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Sentiment analysis becomes a big issue in todays business. Its all about good and bad, positive and negative and how we can monitore the public business sector in order to get a market advantage.

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ai one - who is bad

  1. 1. ai-one™© ai-one inc. 2012 biologically inspired intelligence © ai-one inc. 2012
  2. 2. Bad or Good?What is important in business these days? – for yourcompany or for yourself > Image means a lot• How are you or your company recognized in the market?• How does customers talk about you?• How good or bad is your service or product rated and seen in the public?• Where is the market going, what is seen POSITIVE or NEGATIVE in the market, where are the trends going? © ai-one inc. 2012
  3. 3. How do you measure?What kind of sources do you have tomonitor, how can you monitor, what are thetools?• Which source is relevant (Mail, Twitter, Blogs, user groups etc.?• Is it enough to see good or bad comments, what is the influence of those?• What kind of questions do I have to place and analyze?• How do we rate and sort the massive data volume we will get back? © ai-one inc. 2012
  4. 4. Sentiment analysisOne solution is the automatic sentiment analysis inunstructured data source• Connect to all kind of unstructured or structure source where your customers talk about you!• Ask the right questions! © ai-one inc. 2012
  5. 5. Sample with TwitterDoug Laney is a GARTNER Research Expert, can weanalyze what he is twittering? Main issues are: Big data Content analytics Server Technology Infrastructure & more... © ai-one inc. 2012
  6. 6. This is a analysis of the post’s rated to negative and positive sense. Thedecision if positive or negative is based on two aspects:NathanApp is delivering an ai-fingerprint (LWO) with valued keywords of all content, eachword is rated relative to the whole content and how the word is used in the particular tweet.NLP/Ontology: Then the ai-fingerprint matches with a list of good & bad words. This listusually is case & customer related. ai-one technology can be used to support the creation © ai-one inc. 2012
  7. 7. A closer look into the positive & negativearguments on *BIGDATA* within Doug’sTweet’s © ai-one inc. 2012
  8. 8. ConclusionWhat kind of influence will a tweeter or bloggercreate with its tweets and blogs.• Is negative principally bad and positive principally good?• How shall we measure and value bad & good?• Often follower do not respond, are they still influenced, how is this measurable?Biologically inspired intelligence is needSense making, semantic meaning, sentiment are no digitalvalues, there is a big grey zone where content sounds negative butis positive and reverse. More intelligence is need to get bettercontent and sentiment analysis. © ai-one inc. 2012
  9. 9. The ai-one platform technology**Minimal costs with maximum qualityNathanAPP Online service provided by ai-one using cloud computing provider (SaaS)NathanNODE Image for self-service providing (customer managed SaaS environment)NathanCORE SDK/native Library for standalone and customer managed implementation with native access to core.**For more information about how to implement the ai-one technology LIB’s into existing SWor how to create new solutions and integrate NLP /NLG, Ontologies or Treasuries contactus, or visit © ai-one inc. 2012
  10. 10. ai-one is Listening to the Data … gives you an answer to a question, you did not know that you have to ask….! logic creativity© ai-one inc. 2012 © ai-one inc. 2012
  11. 11. Biologically Intelligence Inspired logic creativity© ai-one inc. 2012 © ai-one inc. 2012
  12. 12. Thank You!ai-one inc. ai-one ag ai-one gmbh5711 La Jolla Blvd., Flughofstrasse 55, Koenigsallee 35a,Bird Rock Zürich-Kloten GrunewaldLa Jolla, CA 92037 8152 Glattbrugg 14193© ai-one inc. 2012 biologically inspired intelligence © ai-one inc. 2012