Description
This workshop will guide participants through the first steps of 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.
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 its 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.