Library Support for Text and Data Mining

Text and data mining (TDM) uses methods of automated extraction, combination, and analysis of data to create new information by revealing trends, patterns, and relationships. While considered together in this report, the mining of text and of data usually require different considerations. Text mining, sometimes called text analytics, can be viewed as a subset of data mining. Academic libraries have traditionally been a major source for peer-reviewed and other scholarly literature on campuses, and therefore should play a role in facilitating access for TDM. The purpose of this report is to explore how the University Libraries has supported TDM in the past and how it might do so in the future, with a focus on access to peer-reviewed research and other scholarly sources. Read More 

About Chua Junjie

Junjie is a Scholarly Communication librarian (research impact and copyright). He has an honours degree in Psychology from NUS and a Masters of Information Studies from NTU. In his free time, he enjoys learning foreign languages, playing the piano, fine arts, fiddling with R programming, inferential statistics – e.g. GLMs, predictive modelling & more.

22. February 2018 by Chua Junjie
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