Diffeo’s John Frank: Machine Intell-Based Text Analytics Application Key to In-Progress Document Analysis

John Frank
John Frank

John Frank, CEO of knowledge discovery firm Diffeo, has said government agencies should deploy a text analytics application equipped with machine intelligence functions to help search and analyze large data sets and in-progress documents.

Frank wrote that such text analytics apps work to help users review large data repositories and recommend pieces of information “that fill in knowledge gaps in the user’s document” through the use of machine intelligence algorithms.

Such apps, also known as “content recommender tools, ” are designed to review all available information for integration with the user’s in-progress documents, Frank said.

He noted that content recommender platforms are built to monitor recommendations that a user accepts or discards.

“Such feedback allows the machine to learn automatically and actively throughout the user’s long-running exploration, ” Frank added.

Frank also cited how content recommender tools help users trace connections, develop queries to various data stores and retrieve information from different data sources and languages.

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