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[D] Which SOTA authorship attribution / text classification model to use?

I’m currently doing research for my thesis project, and was wondering which models to experiment with. I have a large dataset of political speeches (around 180.000) annotated with the respective party (10 parties total), and would like a model to learn to classify each party given the speeches.

My question is, which model is currently best for this type of task? I have some experience with Bi-LSTM models, and also CNN with LSTM – however I’m very interested if other models would perform better at this task, or if you any experience with the architecture of these type of models?

submitted by /u/mikkelmedm
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.