Zhang, Z.;                     Chen, H.;                     Huang, R.;                     Zhu, L.;                     Ma, S.;                     Leifer, L.;                     Liu, W.    
        Automated Classification of User Needs for Beginner User Experience Designers: A Kano Model and Text Analysis Approach Using Deep Learning. AI 2024, 5, 364-382.
    https://doi.org/10.3390/ai5010018
    AMA Style
    
                                Zhang Z,                                 Chen H,                                 Huang R,                                 Zhu L,                                 Ma S,                                 Leifer L,                                 Liu W.        
                Automated Classification of User Needs for Beginner User Experience Designers: A Kano Model and Text Analysis Approach Using Deep Learning. AI. 2024; 5(1):364-382.
        https://doi.org/10.3390/ai5010018
    
    Chicago/Turabian Style
    
                                Zhang, Zhejun,                                 Huiying Chen,                                 Ruonan Huang,                                 Lihong Zhu,                                 Shengling Ma,                                 Larry Leifer,                                 and Wei Liu.        
                2024. "Automated Classification of User Needs for Beginner User Experience Designers: A Kano Model and Text Analysis Approach Using Deep Learning" AI 5, no. 1: 364-382.
        https://doi.org/10.3390/ai5010018
    
    APA Style
    
                                Zhang, Z.,                                 Chen, H.,                                 Huang, R.,                                 Zhu, L.,                                 Ma, S.,                                 Leifer, L.,                                 & Liu, W.        
        
        (2024). Automated Classification of User Needs for Beginner User Experience Designers: A Kano Model and Text Analysis Approach Using Deep Learning. AI, 5(1), 364-382.
        https://doi.org/10.3390/ai5010018