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Text Mining, Text Analytics and Business Intelligence

Text Mining, Text Analytics and Business Intelligence. November 28, 2007. LexisNexis and Analytics. LexisNexis is increasingly involved in text analytics and mining: We offer a media analytics solution, MarketImpact TM , with other offerings to come

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Text Mining, Text Analytics and Business Intelligence

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  1. Text Mining, Text Analytics and Business Intelligence November 28, 2007

  2. LexisNexis and Analytics • LexisNexis is increasingly involved in text analytics and mining: • We offer a media analytics solution, MarketImpactTM, with other offerings to come • Our news aggregation feeds many analytics solutions, especially those • that focus on media, brand, or reputation management. • Analytics integrated in our flagship research products.

  3. Extending the benefits of search • Use Text mining and analytics to “Make us smarter”: • Provide multi-dimensional insights into key and emerging topics, issues and entities across traditionally unrelated content. • Show us things we can’t find efficiently by prior means i.e. reading. • Show us external measurements correlated with our internal business intelligence. • Show us trends over time. • Create a common platform of understanding via shared views of the data. • Increase predictive awareness to more clearly understand the convergence of science, technology, branding, consumer sentiment, etc.

  4. Intelligent tools to extend search • Technology that enables text analytics: • Content discovery (especially challenging for social media such as wikis, blogs and rich media) • Integration of structured and unstructured content • Entity extraction • Natural language processing • Navigation • Visualization • Translation

  5. Intelligence and Insights for Decision Making • The End Result • Produce an environment where companies can • Anticipate • Adjust • Evolve • Innovate • thereby achieving and maintaining market leadership.

  6. Our Speakers From Human Language to Useful Information Steve Cohen, Executive VP, Basis Technology Steve co-founded Basis Technology in1995. He is responsible for the planning and operations of Basis Technology’s linguistic product research and development. Prior to starting Basis Technology, Steve was the engineering manager for Cognex Corporation's Tokyo office and development manager for SMT device inspection. He has consulted on software internationalization for Foxboro Corporation and started his career as an embedded systems engineer at Teradyne. Steve has a degree in Electrical Engineering from MIT and studied at Waseda University in Tokyo. Matt Kodama, MDEX Engine Group Manager, Endeca Matt Kodama leads the MDEX Engine group in Product Management. His group is responsible for the product direction of core information retrieval capabilities like Guided Navigation™, text search, and quantitative analytics, as well as platform considerations like performance, scalability, and internationalization. Prior to Endeca, Matt held product management and engineering roles at Mercury Interactive, Kintana, and Oracle. Matt holds a BS in Symbolic Systems from Stanford University. Beyond Blogs and Wikis, There’s Traction Jordan Frank, VP, Marketing and Business Development, Traction Software Jordan is the external face of Traction Software as their official blogger. In addition, he is a primary contributor to their internal bog and wiki, and engages with customers to ensure successful wiki implementations. Prior to joining Traction he was a VP of Marketing & Business Development at Inkomi; and developer of Content Bridge, acquired by Adero. Jordan has a BA from Dartmouth and an MBA from the Sloan School at MIT.

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