[1] [1] ZOU Y G，LEI Z X，LIAO J J，et al. The measurement of loss of sustained attention to tourism resources and influencing factors in the new media era： Evidence from public sentiment perception [J]. Journal of Natural Resources，2024，39(7)： 1512-1530.

[3] [3] YU Y，SI X S，HU C H，et al. A review of recurrent neural networks： LSTM cells and network architectures [J].Neural Computation，2019，31(7)： 1235-1270.

[4] [4] ZHANG D W，XU H，SU Z C，et al. Chinese comments sentiment classification based on Word2Vec and SVMperf[J]. Expert Systems with Applications，2015，42 (4)：1857-1863.

[5] [5] LU X L，FANKE W. Word embedding： Concepts and applications[J]. China Terminology，2020，22(3)： 24-32.

[6] [6] DEVLIN J，CHANG M W，LEE K，et al. BERT： Pretraining of deep bidirectional transformers for language understanding[C]//Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics： Human Language Technologies. Minneapolis： Association for Computational Linguistics，2019：4171-4186.

[8] [8] LIU Z，WANG Y，VAIDYA S，et al. KAN： Kolmogorovarnold networks [EB/OL]. (2024-04-30) [2024-8-25]. https：//arxiv.org/abs/2404.19756.

[9] [9] ZHAO J S，SONG M X，GAO X，et al. Research on text representation in natural language processing[J]. Journal of Software，2022，33(1)： 102-128.

[10] [10] QIAN S A，LI F Y. Improved TF-IDF method in text classification[J]. Data Analysis and Knowledge Discovery，2013，29(10)： 27-30.

[11] [11] LIU C，SHENG Y，WEI Z，et al. Research of text classification based on improved TF-IDF algorithm[C]//2018 IEEE International Conference of Intelligent Robotic and Control Engineering (IRCE). Lanzhou： IEEE，2018： 218-222.

[12] [12] MA L，ZHANG Y. Using Word2Vec to process big text data [C]//2015 IEEE International Conference on Big Data (Big Data). Santa Clara：IEEE，2015： 2895-2897.

[13] [13] CHURCH K W. Word2Vec[J]. Natural Language Engineering，2017，23(1)： 155-162.

[14] [14] JATNIKA D，BIJAKSANA M A，SURYANI A A. Word2Vec model analysis for semantic similarities in English words [J]. Procedia Computer Science，2019，157(C)： 160-167.

[15] [15] MOHAMMED A H，ALI A H. Survey of BERT (Bidirectional Encoder Representation Transformer) types [J]. Journal of Physics： Conference Series，2021，1963(1)： 012173.

[16] [16] KIM Y，KIM J H，LEE J M，et al. A pre-trained BERT for Korean medical natural language processing[J]. Scientific Reports，2022，12(1)： 13847.

[17] [17] BELLO A，NG S C，LEUNG M F. A BERT framework to sentiment analysis of tweets [J]. Sensors，2023，23(1)： 506.

[18] [18] DHARMA E M，GAOL F L，WARNARS H，et al. The accuracy comparison among Word2Vec，glove，and fasttext towards convolution neural network (CNN) text classification[J]. Journal of Theoretical and Applied Information Technology，2022，100(2)： 31-41.

[19] [19] SIAMI-NAMINI S，TAVAKOLI N，NAMIN A S. The performance of LSTM and BiLSTM in forecasting time series[C]//2019 IEEE International Conference on Big Data(Big Data). Los Angeles：IEEE，2019： 3285-3292.