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Table 5 Comparison of HFV + LSTM Model using STS-Gold data set with State-of-the-Art Methods

From: A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis

ABSA/SA Technique

Precision

Recall

F1-measure

Accuracy

AUC

SABSA

0.791

0.784

0.7875

0.782

0.763

SentiVec

0.845

0.837

0.841

0.841

0.817

Ngram + TF-IDF + SVM

0.831

0.817

0.824

0.815

0.803

SEML

0.826

0.809

0.8175

0.811

0.798

MTMVN

0.776

0.758

0.767

0.762

0.748

HFV + LSTM

0.927

0.899

0.913

0.900

0.899