Journal of Big Data

Table 3 Comparison of HFV + LSTM Model using SemEval-2014 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	0.845	0.832	0.839	0.829	0.816
SentiVec	0.863	0.843	0.855	0.847	0.834
Ngram + TF-IDF + SVM	0.851	0.838	0.845	0.837	0.823
SEML	0.841	0.824	0.833	0.826	0.813
MTMVN	0.793	0.773	0.785	0.777	0.765
HFV + LSTM	0.946	0.912	0.922	0.902	0.918

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