Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms. - Yang Liu 011; Jian-Wu Bi; Zhi-Ping Fan (Expert Syst. Appl., 2017)

A Method for Ranking Products Through Online Reviews Based on Sentiment Classification and Interval-Valued Intuitionistic Fuzzy TOPSIS. - Yang Liu 011; Jian-Wu Bi; Zhi-Ping Fan (Int. J. Inf. Technol. Decis. Mak., 2017)

Ranking products through online reviews: A method based on sentiment analysis technique and intuitionistic fuzzy set theory. - Yang Liu 011; Jian-Wu Bi; Zhi-Ping Fan (Inf. Fusion, 2017)

A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm. - Yang Liu 011; Jian-Wu Bi; Zhi-Ping Fan (Inf. Sci., 2017)

Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model. - Jian-Wu Bi; Yang Liu 011; Zhi-Ping Fan; Erik Cambria (Int. J. Prod. Res., 2019)

Representing sentiment analysis results of online reviews using interval type-2 fuzzy numbers and its application to product ranking. - Jian-Wu Bi; Yang Liu 011; Zhi-Ping Fan (Inf. Sci., 2019)

Crowd Intelligence: Conducting Asymmetric Impact-Performance Analysis Based on Online Reviews. - Jian-Wu Bi; Yang Liu 011; Zhi-Ping Fan; Erik Cambria (IEEE Intell. Syst., 2020)

A deep neural networks based recommendation algorithm using user and item basic data. - Jian-Wu Bi; Yang Liu 011; Zhi-Ping Fan (Int. J. Mach. Learn. Cybern., 2020)

Ranking hotels through multi-dimensional hotel information: a method considering travelers' preferences and expectations. - Jian-Wu Bi; Tian-Yu Han; Yanbo Yao; Hui Li (J. Inf. Technol. Tour., 2022)