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Warning: Only slightly futuristic!        Research Lab for Applied AI        (Visions for Text Analytics)                A...
• Cohan                                                        The Team   –   10 years in industry   –   MS from NCSU   – ...
We Develop    1: Natural Language Processing Algorithms    2: Text Analytics Technology    3: Business Use CasesWhat we do...
Artificial Intelligence          Research on Natural Language Processing                        Algorithms                ...
Vaklipi – Programming Using a Natural LanguageVaklipi                                            team@aiaioo.com
Text Analytics Technologies                                Text Analytics APIs            Aiaioo Labs – Introduction to Va...
Language        Sentences are meant to do one of the following:        a) Convey an intention (Speech Act)        b) Conve...
Intention Analysis – Categories of Intention    Categories     Parent Category   Department             Urgency    Source ...
Example – Loyalty Analysis using Quit Intention   Here’s what users were saying about quitting Facebook and joining Google...
Example – Call Center Customer Churn Model                                          The customer lodges a                 ...
Example – CSAT using Sentiment Analysis (Advanced)    I deny that [ it can never            Negative     [ be said that th...
Example – Sentiment Analysis – Entity Level Sentiment                                         Negative   Jane believes tha...
Event Analysis    Categories    Acquisition    Merger    Spin Off    Sale    Partnership Formation    Declaration of Bankr...
How do we use all these analytics capabilities?                             Use Cases              Aiaioo Labs – Use Cases...
We can learn things about a Brand!    What you can learn about a brand:    1: Who are a product’s strongest competitors?  ...
Example – 1: How do you measure CSAT?    Sources of data:    1: Conversations on social media    Measurement Proxy:     Ex...
Example – 2: Who are a product’s strongest competitors?    Sources of data:    1: Conversations on social media    Measure...
Example – 3: How commoditized is the market?    Sources of data:    1: Conversations on social media    Measurement Proxy:...
Example – 4: How loyal are customers in an industry?    Sources of data:    1: Conversations on social media    Measuremen...
Example – 5: What is the desirability of a brand?    Sources of data:    1: Conversations on social media    Measurement P...
Example – 6: How reliable is a product?    Sources of data:    1: Conversations on social media    Measurement Proxy:     ...
URLs  Name        Description      URL  Vakintent   Intention Demo   http://www.aiaioo.com:8080/annotator-0.1/automation/d...
Collaboration Possibilities         We’re looking for consulting partners:                    Through whom we can         ...
Contact Us                              Aiaioo Labs                            www.aiaioo.com              Contact: cohan@...
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Aiaioo labs - Only Slightly Futuristic

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A description of brand metrics that can be computed from the intentions expressed towards a brand or product by users.

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Aiaioo labs - Only Slightly Futuristic

  1. 1. Warning: Only slightly futuristic! Research Lab for Applied AI (Visions for Text Analytics) Aiaioo Labs - 2012 Bangalore, IndiaTitle team@aiaioo.com
  2. 2. • Cohan The Team – 10 years in industry – MS from NCSU – 6 patents, 2 publications – Research interests: NLP and ML• Sumukh – 8 years in industry – PhD from University of Melbourne – 4 publications – Research interests: Search• Prabu – MSc Math – Intern at Chennai Mathematical Institute – Research interests: Mathematics• Madhulika – 6 years in industry – MS from UT Austin – Internships at Microsoft and Raman Research Institute – Research interests: ML
  3. 3. We Develop 1: Natural Language Processing Algorithms 2: Text Analytics Technology 3: Business Use CasesWhat we do team@aiaioo.com
  4. 4. Artificial Intelligence Research on Natural Language Processing Algorithms Aiaioo Labs – Introduction to Vaklipi 2011 Bangalore, IndiaText Analytics team@aiaioo.com
  5. 5. Vaklipi – Programming Using a Natural LanguageVaklipi team@aiaioo.com
  6. 6. Text Analytics Technologies Text Analytics APIs Aiaioo Labs – Introduction to Vaksent, Vakintent, Vakevent and Vakfact APIs Bangalore, IndiaText Analytics team@aiaioo.com
  7. 7. Language Sentences are meant to do one of the following: a) Convey an intention (Speech Act) b) Convey information (about a Fact or an Event) One kind of intention is intention to convey sentiment. Identifying the type of intention is intention analysis. Identifying events is event analysis. Identifying facts is fact analysis. Intention Analysis is used in CRM and Call-Center Analytics. Information Analysis finds use in Knowledge Management.Sentiment Analysis team@aiaioo.com
  8. 8. Intention Analysis – Categories of Intention Categories Parent Category Department Urgency Source Purchase Sales High CRM Sell Procurement Medium ERP Inquire Help/Sales High CRM Direct Operations High CRM Compare Market Research Low CRM Suggest Market Research Low Social Opine Design Low Social Praise Opine Design Low Social Criticize Opine Design Low Social Complain Customer Service High CRM/Social Accuse Customer Service Critical CRM Quit Customer Service Critical CRM/Social Express Call Center Training Low Transcripts Thank Express Call Center Training Low Transcripts Apologize Express Call Center Training Medium Transcripts Empathize Express Call Center Training Medium TranscriptsCategories of Intentions team@aiaioo.com
  9. 9. Example – Loyalty Analysis using Quit Intention Here’s what users were saying about quitting Facebook and joining Google+ during the week after Google+ launched. In 4 days, we knew that G+ couldn’t yet replace FB.Competitive Analysis team@aiaioo.com
  10. 10. Example – Call Center Customer Churn Model The customer lodges a complaint If the complaint is not acted upon, an accusation may result Finally, a customer might signal an intention to leave.Introduction – Escalation team@aiaioo.com
  11. 11. Example – CSAT using Sentiment Analysis (Advanced) I deny that [ it can never Negative [ be said that this is not [ a beautiful car ] ] ].Sentiment Analysis team@aiaioo.com
  12. 12. Example – Sentiment Analysis – Entity Level Sentiment Negative Jane believes that John Positive and not Bruce is very handsome. About what/whom is the opinion?Sentiment Analysis team@aiaioo.com
  13. 13. Event Analysis Categories Acquisition Merger Spin Off Sale Partnership Formation Declaration of Bankruptcy Renaming Closing Down Opening Facility Closing Facility Business Deal Product Launch Product Withdrawal Employee Joining Employee Resignation Employee Change of PositionCategories of Events team@aiaioo.com
  14. 14. How do we use all these analytics capabilities? Use Cases Aiaioo Labs – Use Cases related to Brand Metrics Bangalore, IndiaUse Cases team@aiaioo.com
  15. 15. We can learn things about a Brand! What you can learn about a brand: 1: Who are a product’s strongest competitors? 2: How commoditized is the market? 3: What are the weaknesses of the product? 4: How loyal are customers in an industry? 5: What is the desirability of a brand? 6: How reliable is a product? All these reports are available diced by source and in some cases, geographic location data.Strategic Market Analysis team@aiaioo.com
  16. 16. Example – 1: How do you measure CSAT? Sources of data: 1: Conversations on social media Measurement Proxy: Extract the names of products in sentences with opine intention CSAT = number of positive mentions of brand / number of opinionated mentions of brandStrategic Market Analysis team@aiaioo.com
  17. 17. Example – 2: Who are a product’s strongest competitors? Sources of data: 1: Conversations on social media Measurement Proxy: Extract the names of products in sentences with compare intention competitor’s strength = number of mentions of competitor / number of mentions of all brands or generic productsStrategic Market Analysis team@aiaioo.com
  18. 18. Example – 3: How commoditized is the market? Sources of data: 1: Conversations on social media Measurement Proxy: Extract the names of products in sentences with purchase intention commoditization = number of mentions of brands / number of mentions of generic productStrategic Market Analysis team@aiaioo.com
  19. 19. Example – 4: How loyal are customers in an industry? Sources of data: 1: Conversations on social media Measurement Proxy: Extract the sentences about industry products with quit intention inverse of loyalty = number of quit intentions / total mentionsStrategic Market Analysis team@aiaioo.com
  20. 20. Example – 5: What is the desirability of a brand? Sources of data: 1: Conversations on social media Measurement Proxy: Extract the sentences about a brand with purchase intention desirability = number of purchase intentions / total mentionsStrategic Market Analysis team@aiaioo.com
  21. 21. Example – 6: How reliable is a product? Sources of data: 1: Conversations on social media Measurement Proxy: Extract the sentences about a brand with complain intention reliability = number of complain intentions / total mentionsStrategic Market Analysis team@aiaioo.com
  22. 22. URLs Name Description URL Vakintent Intention Demo http://www.aiaioo.com:8080/annotator-0.1/automation/demoView/2 Vaksent Sentiment Dem http://www.aiaioo.com:8080/annotator-0.1/automation/demoView/1 Case Study URL Competitive Analysis http://www.aiaioo.com/cami Bangalore, IndiaDemonstrations team@aiaioo.com
  23. 23. Collaboration Possibilities We’re looking for consulting partners: Through whom we can License our APIs Whom we can help with Consulting engagements With whom we can work in offering Training programsCollaboration team@aiaioo.com
  24. 24. Contact Us Aiaioo Labs www.aiaioo.com Contact: cohan@aiaioo.com, +91-77605-80015 Bangalore, IndiaThank You team@aiaioo.com

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