1
Gaziantep University, Turkey
(mmbudak@gantep.edu.tr)
2
Gaziantep University, Turkey
(mfsert@gantep.edu.tr)
3
Recep Tayyip Erdoğan University, Turkey
(ilkeryasin.durmaz@erdogan.edu.tr)
Abstract :
Document clustering is an integral and important part of text mining. In case of classical clustering, data item belongs to only one cluster, whereas in Plithogenic approach to fuzzy clustering, data point may fall into more than one cluster. Thus, Plithogenic approach fuzzy clustering leads to wherein each data point is associated with more than one membership function that expresses the degree to which individual data points belong to the cluster. Additionally, his speeches at the UN will be analyzed with a neutrosphic approach. With the help of this approaches, in this study, speeches of the UN sessions attended by Turkish diplomats in the United Nations (UN) will be analyzed to understand the priorities of the country in international politics, the change and continuity in these policies. The texts of the UN sessions attended by Turkish diplomats between 2015 and 2023 were taken as data set. Such a large volume of data was analyzed with the help of text mining. For this purpose, each year's data was analyzed separately using word frequencies and clustering analysis, and then topic modeling was performed for each year's data using the Latent Dirichlet Allocation (LDA) method.
Keywords :
Neutrosophic sets; Plithogenic sets; Plithogenic approach; Neutrosophic Approach; Turkish Foreign Policy; Text Mining; LDA.
References :
[1] Grimmer, J., & Stewart, B. M. Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political analysis, 2013. 21(3), 267-297.
[2] Rheault, L., & Cochrane, C. Word embeddings for the analysis of ideological placement in parliamentary corpora. Political Analysis, 2020,28(1), 112-133.
[3] Rheault, L., Beelen, K., Cochrane, C., & Hirst, G. Measuring emotion in parliamentary debates with automated textual analysis. PloS one, 2016,11(12), e0168843.
[4] Widmann, T., & Wich, M. Creating and comparing dictionary, word embedding, and transformer-based models to measure discrete emotions in german political text. Political Analysis, 2022, 1-16.
[5] Røed, M. When do political parties listen to interest groups?. Party Politics, 2023,29(2), 374-383.
[6] Heidenreich, T., Lind, F., Eberl, J. M., & Boomgaarden, H. G. Media framing dynamics of the ‘European refugee crisis’: A comparative topic modelling approach. Journal of Refugee Studies, 2019, 32(Special_Issue_1)
[7] Gruber, J. B. Troublemakers in the streets? A framing analysis of newspaper coverage of protest in the UK 1992-2017 (Doctoral dissertation, University of Glasgow). 2021.
[8] Rauh, C. Clear messages to the European public? The language of European Commission press releases 1985–2020. Journal of European integration, 2023,45(4), 683-701.
[9] Baturo, A., Dasandi, N., & Mikhaylov, S. J. Understanding state preferences with text as data: Introducing the UN General Debate corpus. Research & Politics, 2017. 4(2), 2053168017712821.
[10] Gurciullo, S., Smallegan, M., Pereda, M., Battiston, F., Patania, A., Poledna, S., ... & Mikhaylov, S. Complex politics: A quantitative semantic and topological analysis of uk house of commons debates. 2015. arXiv preprint arXiv:1510.03797.
[11] Gurciullo, S., & Mikhaylov, S. J. Detecting policy preferences and dynamics in the un general debate with neural word embeddings. In 2017 International Conference on the Frontiers and Advances in Data Science (FADS) IEEE. 2017. (pp. 74-79).
[12] Schönfeld, M., Eckhard, S., Patz, R., & van Meegdenburg, H. Discursive landscapes and unsupervised topic modeling in IR: A validation of text-as-data approaches through a new corpus of UN Security Council speeches on Afghanistan. 2018 ,arXiv preprint arXiv:1810.05572.
[13] Smarandache, F. Extension of soft set to hypersoft set, and then to plithogenic hypersoft set. Neutrosophic sets and systems, 2018, 22(1), 168-170.
[14] Kwartler, T. Text mining in practice with R. John Wiley & Sons. 2017
[15] King, R. S. . Cluster analysis and data mining: An introduction. Stylus Publishing, LLC., 2015
[16] Han, J., Kamber, M. & Pei, J. Data mining: concepts and techniques. 3rd Edition, Morgan Kaufmann, USA, 2011.
[17] Kaufman, L. & Rousseeuw, P.J.,. Finding groups in data. Series in Probability & Mathematical Statistics, 1990, 34 (1), 111-112.
[18] Koyuncugil, A. Fuzzy Data Mining and Its Application to Capital Markets. Ankara University. 2006
[19] Blei, D. M., Ng, A. Y., & Jordan, M. I. Latent dirichlet allocation. Journal of machine Learning research, 2003. 3(Jan), 993-1022.
[20] Smarandache, F. (2018). Plithogenic Set, an Extension of Crisp, Fuzzy, Intuitionistic Fuzzy, and Neutrosophic Sets. Infinite Study.
[21] Smarandache, F. (2018). Plithogenic Set, an Extension of Crisp, Fuzzy, Intuitionistic Fuzzy, and Neutrosophic Sets. Infinite Study.
[22] Abdel-Basset, M., Ding, W., Mohamed, R., & Metawa, N. (2020). An integrated plithogenic MCDM approach for financial performance evaluation of manufacturing industries. Risk management, 22, 192-218.
[23] Merkepci, H., & Abobala, M. (2023). On The Symbolic 2-Plithogenic Rings. International Journal of Neutrosophic Science.
[24] Priyadharshini, S. P., & Irudayam, F. N. (2023). An Analysis of Obesity in School Children during the Pandemic COVID-19 Using Plithogenic Single Valued Fuzzy Sets. Neutrosophic Systems with Applications, 9, 24-28.
[25] Hema, R., Sudharani, R., & Kavitha, M. (2023). A Novel Approach on Plithogenic Interval Valued Neutrosophic Hyper-soft Sets and its Application in Decision Making. Indian Journal of Science and Technology, 16(32), 2494-2502.
[26] Tayal, D. K., Yadav, S. K., & Arora, D. (2023). Personalized ranking of products using aspect-based sentiment analysis and Plithogenic sets. Multimedia Tools and Applications, 82(1), 1261-1287.
[27] Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353
[28] Atanassov K (1986) Intuitionistic fuzzy sets. Fuzzy Set Syst 20(1): 87–96
[29] Smarandache F (1998) A Unifying Field in Logics. Neutrosophy: Neutrosophic Probability, Set and Logic. Rehoboth: American Research Press.
[30] Bakbak, D., & Ulucay, V. (2020). A Theoretic Approach to Decision Making Problems in Architecture with Neutrosophic Soft Set. Quadruple Neutrosophic Theory and Applications-Volume I, 113-126.
[31] Peng, J. J., Wang, J. Q., Wang, J., Zhang, H. Y., & Chen, X. H. (2016). Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems. International journal of systems science, 47(10), 2342-2358.
| Style | # |
|---|---|
| MLA | Muhammet Musa Budak , Mehmet Fatih Sert , Ilker Yasin Durmaz. "Analyzing the United Nations Speeches with a Neutrosophic Approach to Text Mining in The Context of Türkiye’s Foreign Policy." International Journal of Neutrosophic Science, Vol. 22, No. 3, 2023 ,PP. 135-147 (Doi : https://doi.org/10.54216/IJNS.220310) |
| APA | Muhammet Musa Budak , Mehmet Fatih Sert , Ilker Yasin Durmaz. (2023). Analyzing the United Nations Speeches with a Neutrosophic Approach to Text Mining in The Context of Türkiye’s Foreign Policy. Journal of International Journal of Neutrosophic Science, 22 ( 3 ), 135-147 (Doi : https://doi.org/10.54216/IJNS.220310) |
| Chicago | Muhammet Musa Budak , Mehmet Fatih Sert , Ilker Yasin Durmaz. "Analyzing the United Nations Speeches with a Neutrosophic Approach to Text Mining in The Context of Türkiye’s Foreign Policy." Journal of International Journal of Neutrosophic Science, 22 no. 3 (2023): 135-147 (Doi : https://doi.org/10.54216/IJNS.220310) |
| Harvard | Muhammet Musa Budak , Mehmet Fatih Sert , Ilker Yasin Durmaz. (2023). Analyzing the United Nations Speeches with a Neutrosophic Approach to Text Mining in The Context of Türkiye’s Foreign Policy. Journal of International Journal of Neutrosophic Science, 22 ( 3 ), 135-147 (Doi : https://doi.org/10.54216/IJNS.220310) |
| Vancouver | Muhammet Musa Budak , Mehmet Fatih Sert , Ilker Yasin Durmaz. Analyzing the United Nations Speeches with a Neutrosophic Approach to Text Mining in The Context of Türkiye’s Foreign Policy. Journal of International Journal of Neutrosophic Science, (2023); 22 ( 3 ): 135-147 (Doi : https://doi.org/10.54216/IJNS.220310) |
| IEEE | Muhammet Musa Budak, Mehmet Fatih Sert, Ilker Yasin Durmaz, Analyzing the United Nations Speeches with a Neutrosophic Approach to Text Mining in The Context of Türkiye’s Foreign Policy, Journal of International Journal of Neutrosophic Science, Vol. 22 , No. 3 , (2023) : 135-147 (Doi : https://doi.org/10.54216/IJNS.220310) |