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

Gaurish Thakkar; Marcis Pinnis

doi:10.3233/faia200602

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arXiv · 2010.12401

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

Gaurish Thakkar·Marcis Pinnis

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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

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Gaurish Thakkar, Marcis Pinnis. 2020-10-23. Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets. https://doi.org/10.3233/faia200602

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