Chinese Microblog Sentiment Detection Based on CNN-BiGRU and Multihead Attention Mechanism

Table 4

Comparison of test results with various traditional machine learning methods.

	Accuracy	Precision	Recall	F1
Decision tree	0.7247	0.7277	0.7182	0.7229
KNN	0.8048	0.8290	0.7679	0.7973
Naive Bayes	0.8151	0.8252	0.7995	0.8122
Random forest	0.8455	0.8434	0.8485	0.8459
GBDT	0.8684	0.8640	0.8745	0.8692
SVM	0.8758	0.8682	0.8861	0.8771
Logistic regression	0.8890	0.8820	0.8981	0.8900
CNN-BiGRU-MAttention	0.9765	0.9901	0.9606	0.9751