1. Content Analytics – Uncovering Critical Insight YellowBrix 3/2/20161

2. Content Analytics  What is it?  Automated techniques used to analyze data  Any technique for making inferences by objectively and systematically identifying specified characteristics  Process to and extract meaningful information from text  Repeatable methodology that uses a consistent process to get a consistent result  Why do you need it?  Reduce your time to knowledge  Provide improved and consistent results  Identify critical knowledge elements  What are the technologies and how are they used? 3/2/20162

3. 3 Taxonomy Ontology

4. 3/2/20164  Categorization  Related Articles  Bayesian  SVM  Boolean  Hyper-planes  Vector  Clustering  Vector

5. 3/2/20165  Entity Extraction  Summarization  NLP

6. 3/2/20166  Tag Clouds  Clustering  NLP

7. 3/2/20167 NLP Boolean  Alerting

8. 3/2/20168  Sentiment Analytics  Semantic  NLP  SVM

9. Sentiment on Yahoo 3/2/20169 Microsoft makes offerMicrosoft withdraws bid Microsoft backs Icahn’s bid to oust Yahoo board

10. Conclusion  Automated tools will not replace people.  Content analytics allow companies to use knowledge workers to their fullest potential.  Leave the “assembly line” work for the computers. 3/2/201610

11. Questions? 3/2/201611