I2C-Huelva at SemEval-2023 Task 9: Analysis of Intimacy in Multilingual Tweets Using Resampling Methods and Transformers

Abstract

Nowadays, intimacy is a fundamental aspect of how we relate to other people in social settings. The most frequent way in which we can determine a high level of intimacy is in the use of certain emoticons, curse words, verbs, etc. This paper presents the approach developed to solve SemEval 2023 task 9: Multiligual Tweet Intimacy Analysis. To address the task, a transfer-learning approach was conducted by fine-tuning various pre-trained language models. Since the dataset supplied by the organizer was highly imbalanced, our main strategy to obtain high prediction values was the implementation of round-trip translation for oversampling and a random approach for undersampling on the training set. Our final submission achieved an overall Pearson’s r of 0.497.