ICTer 2018 T2) Text Analytics
A. R. Weerasinghe · 2018
This tutorial is aimed at those who have to deal with lots of textual data for elucidating information and knowledge for decision making purposes. While there is no prerequisite of knowing programming, algorithmic thinking will enable participants to gather more insights from the tutorial than those who do not possess such. After a very brief introduction to the linguistics behind textual data, the tutorial will cover aspects of data collection, cleaning and preparation (extracting useful features), and then go onto some of the key analytical processes that can be employed to extract knowledge useful for decision making.