Text analytics and text mining have until recently remained on the periphery of my interest in enterprise search.

PURPOSEThe objective was to develop and evaluate the portability of a text mining algorithm for prospectively capturing disease progression in electronic health record (EHR) data of patients with ...

Text mining could help in the rational design of new materials 04 Jul 2019 Isabelle Dumé Credit: Olga Kononova Discovering new materials with a particular set of properties can be a slow and ...

AstraZeneca's NLP team uses PyTorch to define and train biomedical text-mining algorithms that can work their way through the data, finding patterns and trends, and eventually structuring the ...

The researchers noted that that much information is located only in free text and that it would be "impossible" to extract on a large scale without an automated tool. Eventually algorithms to ...

Algorithms Text and data mining (TDM) is pivotal to the development of new AI applications, allowing researchers and businesses to copy and harness disparate datasets to train their algorithms.

The GraphDB text mining plugin integrates text mining algorithms and allows for generating new relationships between entities without coding or developing bespoke solutions and integration code ...

Text mining uses computerized algorithms to identify and track recurring words, trends, and themes in written material, which are then converted into statistical data.