This paper examines the impact of emoticons and pre-processing on sentiment classification for English translations of 11 African languages. Using AfriSentiSemEval datasets, Roberta and Twitter-Roberta models are fine-tuned, and standard classification metrics are used to assess performance.
# NLP_Research_Project
This paper examines the impact of emoticons and pre-processing on sentiment classification for English translations of 11 African languages. Using AfriSentiSemEval datasets, Roberta and Twitter-Roberta models are fine-tuned, and standard classification metrics are used to assess performance. Link