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Sentiment Analysis on ChnSentiCorp (test)

95.9AccuracyMacBERT
94.23694.66895.195.532Apr 19, 2019Aug 30, 2019Jan 11, 2020May 24, 2020Oct 5, 2020Feb 16, 2021Jun 30, 2021

Evaluation results

MethodLinks
MacBERTSize=Large2020.0495.9——
MacBERTModel Scale=Large, Pre-train Data=Standard2021.0695.9——
ChineseBERTModel Scale=Large, Pre-train Data=Standard2021.0695.9——
MacBERTModel Scale=Large2019.0695.9——
ERNIE 2.0Model Version=ERNIE 2.0, Model Scale=LARGE2019.0795.8——
RoBERTa-wwm-extSize=Large, Whole Word Masking=True, extended=True2020.0495.8——
RoBERTaModel Scale=Large, Pre-train Data=Extended2021.0695.8——
RoBERTa-wwmModel Scale=Large2019.0695.8——
ChineseBERTModel Scale=Base, Pre-train Data=Standard2021.0695.7——
RoBERTa-wwm-extSize=Base, Whole Word Masking=True, extended=True2020.0495.6——
MacBERTSize=Base2020.0495.6——
RoBERTaModel Scale=Base, Pre-train Data=Extended2021.0695.6——
MacBERTModel Scale=Base, Pre-train Data=Standard2021.0695.6——
RoBERTa-wwmModel Scale=Base2019.0695.6——
MacBERTModel Scale=Base2019.0695.6——
ERNIE 2.0Model Version=ERNIE 2.0, Model Scale=BASE2019.0795.5——
BERTModel Scale=Base, Pre-train Data=Standard2021.0695.5——
ERNIE2019.0495.4——
ERNIE 1.0Model Version=ERNIE 1.0, Model Scale=BASE2019.0795.4——
BERT-wwmWhole Word Masking=True2020.0495.4——
ERNIEModel Scale=Base, Pre-train Data=Standard2021.0695.4——
BERT-wwmModel Scale=Base2019.0695.4——
BERT-wwm-extWhole Word Masking=True, extended=True2020.0495.3——
ELECTRASize=Large2020.0495.3——
BERTModel Scale=Base, Pre-train Data=Extended2021.0695.3——
BERT-wwm-extModel Scale=Base2019.0695.3——
ELECTRAModel Scale=Large2019.0695.3——
BERTSize=Base2020.0495——
BERTModel Scale=Base2019.0695——
ELECTRASize=Base2020.0494.5——
ELECTRAModel Scale=Base2019.0694.5——
BERT2019.0494.3——
BERTModel Version=BERT, Model Scale=BASE2019.0794.3——
BERTScale=base2022.03—95.394.8
BERTModel size=base2022.11—94.994.6
ELECTRAScale=base2022.03—94.593.5
ELECTRAScale=large2022.03—95.394.8
ELECTRAModel size=base2022.11—94.593.5
ELECTRAModel size=large2022.11—95.394.8
LERTModel size=base2022.11—95.995.2
LERTModel size=large2022.11—96.295.4
MacBERTScale=base2022.03—95.694.9
MacBERTScale=large2022.03—95.995.1
MacBERTModel size=base2022.11—95.694.9
MacBERTModel size=large2022.11—95.995.1
PERTScale=base2022.03—94.894.1
PERTScale=large2022.03—95.394.8
PERTModel size=base2022.11—94.894.1
PERTModel size=large2022.11—95.394.8
RoBERTaScale=base2022.03—95.694.9
RoBERTaScale=large2022.03—95.894.9
RoBERTaModel size=base2022.11—95.694.9
RoBERTaModel size=large2022.11—95.894.9