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Aspect Polarity Classification on Twitter

75.16F1 Score (APC)BERT-SPC
49.617656.248862.8869.5112Dec 17, 2019Sep 14, 2020Jun 13, 2021Mar 12, 2022Dec 9, 2022Sep 7, 2023Jun 5, 2024

Evaluation results

MethodLinks
BERT-SPCinput_format=SPC2019.1275.1676.27
LCF-ATEPC-CDWmechanism=CDW2019.1275.0476.56
BERT-BASE2019.1274.9176.27
LCF-ATEPC-Fusionmechanism=Fusion2019.1274.5476.7
LCF-ATEPC-CDMmechanism=CDM2019.1274.0675.11
AEN-BERT2019.1273.1374.71
K-Means + Feedback-ICLBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=K-Means2024.0657.78—
Random + Feedback-ICLBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=Random2024.0657.64—
BERT-FTBackbone=BERT-base, Evaluation Protocol=Fine-tuning2024.0656.4—
BM25 + Feedback-ICLBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=BM252024.0656.22—
SBERT + Feedback-ICLBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=SBERT2024.0656.07—
MMR + Feedback-ICLBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=MMR2024.0655.57—
K-MeansBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=K-Means2024.0655.2—
RandomBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=Random2024.0654.95—
MMRBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=MMR2024.0651.07—
BM25Backbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=BM252024.0650.99—
SBERTBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=SBERT2024.0650.6—