Twitter sentiment classification with BERT/RoBERTa: LoRA parameter-efficiency sweep and cross-model error analysis on TweetEval
-
Updated
Aug 26, 2026 - Jupyter Notebook
Twitter sentiment classification with BERT/RoBERTa: LoRA parameter-efficiency sweep and cross-model error analysis on TweetEval
Three-class TweetEval sentiment classification with token and VADER features, model comparison, and class-level error analysis.
Add a description, image, and links to the tweeteval topic page so that developers can more easily learn about it.
To associate your repository with the tweeteval topic, visit your repo's landing page and select "manage topics."