The use of discourse fuzzy strategies in movie lines based on random forest model

[1] Liang, D., Liu, D., & Quan, W. (2018). Information aggregation of hesitant fuzzy interval sets for multicriteria decision-making. Computing in Science & Engineering, 38-51. Search in Google Scholar

[2] IM García-Sánchez, Amor-Esteban, V., & A García-Sánchez. (2021). Different leaders in a covid-19 scenario: ceo altruism and generous discourse. Sustainability, 13(7), 3841. Search in Google Scholar

[3] Farooq, A., Al-Shamiri, M., Khalaf, M. M., Amjad, U., & Rak, E. (2022). Decision-making approach with complex bipolar fuzzy n-soft sets. Mathematical Problems in Engineering, 2022. Search in Google Scholar

[4] Paraponaris, C., & Rohr, A. (2020). Une analyse de la régulation des communs scientifiques àpartir des conventions et des imaginaires linguistiques. Post-Print, (3). Search in Google Scholar

[5] Kong, H., & Joo-Eon, J. (2018). Daily emotional labor, negative affect state, and emotional exhaustion: cross-level moderators of affective commitment. Sustainability, 10(6), 1967. Search in Google Scholar

[6] Gomes, L., Madeira, A., & Barbosa, L. S. (2020). Introducing synchrony in fuzzy automata. Electronic Notes in Theoretical Computer Science, 348, 43-60. Search in Google Scholar

[7] Massaoudi, M., Chihi, I., Sidhom, L., Trabelsi, M., Refaat, S. S., & Oueslati, F. S. (2021). Enhanced random forest model for robust short-term photovoltaic power forecasting using weather measurements. Energies, 14. Search in Google Scholar

[8] Osval, A., Pez, M. L., A Montesinos-Ló, Mosqueda-Gonzalez, B. A., & OA Montesinos-López. (2021). A zero altered poisson random forest model for genomic-enabled prediction. G3-Genes Genomes Genetics, 11(2), 1-20. Search in Google Scholar

[9] Ho, L., Dubus, L., MD Felice, & Troccoli, A. (2020). Reconstruction of multidecadal country-aggregated hydro power generation in europe based on a random forest model. Energies, 13. Search in Google Scholar

[10] Chaidas, & Dimitrios. (2018). Legitimation strategies in the greek paradigm: a comparative analysis of syriza and new democracy. Language & Communication, 60, 136-149. Search in Google Scholar

[11] Rosa, M., & Romero, E. D. (2019). A modality-based approach to the united nations security council’s ambiguous positioning in the resolutions on the syrian armed conflict. Intercultural Pragmatics, 16(4), 363-387. Search in Google Scholar

[12] Oakes, L., & Peled, Y. (2021). Pluricentric linguistic justice in quebec:an attitudinal study of the politics of norm setting in french. Language Problems and Language Planning, 45(3), 331-356. Search in Google Scholar

[13] Hanners, K. A., & Redden, S. M. (2021). Communicating values to cultivate sustainable occupational identity: how restaurant workers resist service work stigma. Sustainability, 13. Search in Google Scholar

[14] Meo, M., Badar, K., Nisar, Q. A., Othman, N., & Sarfraz, M. (2020). Leaders’ emotional labour strategies and followers’ emotional engagement: mediating effect of perceived transformational leadership. European Journal of International Management, 1(1), 1. Search in Google Scholar

[15] Zhao, S., Dong, Y., Martinez, L., & Pedrycz, W. (2021). Analysis of ranking consistency in linguistic multiple attribute decision making: the roles of granularity and decision rules. IEEE Transactions on Fuzzy Systems, PP(99), 1-1. Search in Google Scholar

[16] Zhou, F. (2020). ‘how can johns hopkins not be angry?’ a discursive case study of chinese lay expert’s science communication in the digital age. Language & Communication, 74, 41-51. Search in Google Scholar

[17] Kim, E., Kim, E., Matiko, B. J., & Matiko, B. J. (2019). Power, ideology, and women’s ordination: discursive strategies in three roman catholic documents. Critical Research on Religion, 7(3), 237-256. Search in Google Scholar

[18] Pujante, D. (2018). The discursive construction of reality in the framework of the retoric. the constructive retoric. Tonos Digital, (34). Search in Google Scholar

[19] Awan, M. J., Khan, R. A., Nobanee, H., Yasin, A., Anwar, S. M., & Naseem, U., et al. (2021). A recommendation engine for predicting movie ratings using a big data approach. Electronics, 10(10), 1215-. Search in Google Scholar

[20] Tsai, Y. Z., Hsu, K. S., Wu, H. Y., Lin, S. I., Yu, H. L., & Huang, K. T., et al. (2020). Application of random forest and icon models combined with weather forecasts to predict soil temperature and water content in a greenhouse. Water,(4). Search in Google Scholar

[21] Li, N., & Bai, L. (2018). Transforming fuzzy spatiotemporal data from relational databases to xml. IEEE Access, PP, 1-1. Search in Google Scholar