This work aims to build a graph convolutional network model for a text classification problem, and compare the performance of supervised Machine Learning algorithms in categorizing online harassment in Twitter posts and building a baseline. This work is presented in chapter 5 of Mozhgan's thesis.
The data used in this study is the SIMAH's competition dataset.
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