id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-2711	Lee, Dongmei ; Wang, Dingran ; Zhang, Wen ; Song, Zhihong 	A hybrid BiLSTM-CNN deep learning model for Chinese sentiment analysis of online car reviews	2024	14	.pdf	application/pdf	7650	441	57	These word vectors include car-specific vocabulary, which improves sentimental classification accuracy, which supplement existing literature on machine learning applications in the area of car review texts In sum, previous research has shown that traditional approaches to developing sentiment classification models such as dictionary-based methods that rely on lexicons (e.g., WordNet) and traditional machine learning algorithms (e.g., Naïve Bayes and Random Forest) often fail to accurately predict the polarity of car review texts due to their poor feature extraction and nonlinear fitting capabilities.	cache/easat-2711.pdf	txt/easat-2711.txt