Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier

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Sentiment Analysis for E-Commerce Product Reviews in Chinese Based on Sentiment Lexicon and Deep Learning (2020, methodology): “Manek et al. [32] proposed the method of feature extraction based on gini index and classiﬁcation by support vector machine (SVM).”
Sentiment Analysis of Comment Texts Based on BiLSTM (2019, methodology): “According to the classification method of sentiment orientation, it can be divided into binary sentiment classification [10], ternary sentiment classification [11] and multi-sentiment classification [12].”
A survey of sentiment analysis in social media (2018, methodology): “[70] proposed a statistical method using weight by Gini index method for feature selection in sentiment analysis with SVM classifier.”
A survey on classification techniques for opinion mining and sentiment analysis (2017, background): “Alfaro et al. (2016) compared the performance of SVM and the nearest neighbor algorithm for text classification and sentiment analysis by using weblog data as dataset.”
Sentiment analysis of Chinese micro-blog text based on extended sentiment dictionary (2018, methodology): “Currently more mature classification methods have Support Vector Machine (SVM) [16], Naive Bayes (NB) [17] and Maximum Entropy (ME) [18].”