Paper ID: 2311.04139

Modelling Sentiment Analysis: LLMs and data augmentation techniques

Guillem Senabre Prades

This paper provides different approaches for a binary sentiment classification on a small training dataset. LLMs that provided state-of-the-art results in sentiment analysis and similar domains are being used, such as BERT, RoBERTa and XLNet.

Submitted: Nov 7, 2023