Similarity Fuzzy Semantic Network for Social Media Analysis

Author:

Castro Juan LuisORCID,Francisco ManuelORCID

Publisher

Springer International Publishing

Reference13 articles.

1. Alhiyafi, J., Atta-ur-Rahman, Alhaidari, F.A., Khan, M.A.: Automatic text categorization using fuzzy semantic network. In: Benavente-Peces, C., Slama, S.B., Zafar, B. (eds.) Proceedings of the 1st International Conference on Smart Innovation, Ergonomics and Applied Human Factors (SEAHF)Smart Innovation, Systems and Technologies, pp. 24–34. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22964-1_3

2. Castro, J.L., Francisco, M.: Similarity fuzzy semantic networks and inference. An application to analysis of radical discourse in twitter. In: Artificial Intelligence and Soft Computing. Proceedings of ICAISC 2022. Lecture Notes in Computer Science. Springer, Cham (2022)

3. Dujmović, J., Torra, V.: Aggregation functions in decision engineering: ten necessary properties and parameter-directedness. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A.C., Sari, I.U. (eds.) INFUS 2021. LNNS, vol. 307, pp. 173–181. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-85626-7_21

4. Flores, D.L., Rodríguez-Díaz, A., Castro, J.R., Gaxiola, C.: TA-fuzzy semantic networks for interaction representation in social simulation. In: Castillo, O., Pedrycz, W., Kacprzyk, J. (eds.) Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence, pp. 213–225. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04514-1_12

5. Francisco, M., Castro, J.L.: A fuzzy model to enhance user profiles in microblogging sites using deep relations. Fuzzy Sets Syst. 401, 133–149 (2020). https://doi.org/10.1016/j.fss.2020.05.006

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