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Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets

2020-10-23 13:45:33
Gaurish Thakkar, Marcis Pinnis
arXiv_CL
         
Abstract

In this paper, we present various pre-training strategies that aid in im-proving the accuracy of the sentiment classification task. We, at first, pre-trainlanguage representation models using these strategies and then fine-tune them onthe downstream task. Experimental results on a time-balanced tweet evaluation setshow the improvement over the previous technique. We achieve 76% accuracy forsentiment analysis on Latvian tweets, which is a substantial improvement over pre-vious work

Abstract (translated)

URL

https://arxiv.org/abs/2010.12401

PDF

https://arxiv.org/pdf/2010.12401.pdf

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