This workshop will guide participants through the first steps for doing data analysis, specifically text mining with Weka. Weka is an open source machine-learning tool. We will be replicating the work of Mike Thelwall in his paper on Gender bias in machine learning for sentiment analysis (https://wlv.openrepository.com/handle/2436/620690)
Before getting into the hands-on text mining exercise, we will present a brief introduction to AI and machine learning, as well as the notion of algorithmic bias; what it is, how is introduced and it’s repercussions.
By the end of the workshop participants will have applied a sentiment analysis technique to a gender segregated data set and be able to determine its effect on the resulting predictive model.
Before the workshop, students are strongly encouraged to install Weka and download the data.