bitsinthesky/fine_grained_media_sentiments_annotations

Task: Aspect based sentiment recognition. Domain: Political news coverage. Named entities have been masked with [NEG], [NEU], or [POS] tokens. Dataset size: 1400 clippits. An ABSA-BERT model successfully leveraged this dataset, with semi-supervised learning, to get very good results on fine grained sentiment recognition. Creation: Five of my friends voluntarily used my browser plugin annotation tool I made to send me marked sentences of the news they were reading. How well they understood the… See the full description on the dataset page: https://huggingface.co/datasets/bitsinthesky/fine_grained_media_sentiments_annotations.