Analysis of Academic Libraries’ Facebook Posts: Text and Data Analytics
This research analyzed a dataset of academic libraries’ posts on Facebook. It applied a text and data analytics approach to a dataset collected from the Facebook posts of academic libraries at the top 100 English-speaking universities, as listed by the 2014 Shanghai World University Rankings. 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.
27. February 2018 by Chua Junjie
Categories: Communication & Outreach, Planning, Research & Analytics |
Tags: Academic Libraries, Content Analysis, Data Mining, Text Mining |
Leave a comment
