Automating Text Mining Analytics at a Major Philanthropic Foundation
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Working in all 50 states and more than 100 countries, a multitude of partnerships, and working in a variety of unrelated, but worthy causes, it is clear that honing the grant selection process for success is imperative.
Factors which contribute to grant success are difficult to determine, and may seem unrelated.
Identify factors indicative of failure or success using grant proposal data and external data sources, to increase efficacy of grant funding.
Using Microsoft Cognitive services and Bot Framework, Neal Analytics developed a chat bot capable of asking novel questions, displaying on-the-fly data metrics, and giving insight.
Behind the scenes, many different machine learning algorithms and text mining techniques were required.
By combining both internal and external data sources, a high predictive analysis is now possible from the grant proposals alone.
Bot outputs graphical and text based insight
Bot automates user queries and answers key question