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Determining Political Inclination In Tweets Using Transfer Learning, Mehtab Iqbal
Determining Political Inclination In Tweets Using Transfer Learning, Mehtab Iqbal
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Last few years have seen tremendous development in neural language modeling for transfer learning and downstream applications. In this research, I used Howard and Ruder’s Universal Language Model Fine Tuning (ULMFiT) pipeline to develop a classifier that can determine whether a tweet is politically left leaning or right leaning by likening the content to tweets posted by @TheDemocrats or @GOP accounts on Twitter. We achieved 87.7% accuracy in predicting political ideological inclination.