Semantic Business Trajectories Modeling and Analysis
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42941-5_33
Reference19 articles.
1. Arslan, M., Cruz, C.: Extracting business insights through dynamic topic modeling and NER. In: Proceedings of the 14th International Joint Conference on Knowledge Discovery (KEOD), pg. 215–222 (2022). https://doi.org/10.5220/0011552900003335
2. Arslan, M., Cruz, C.: Semantic taxonomy enrichment to improve business text classification for dynamic environments. In: INISTA, pp. 1–6. IEEE, Biarritz (2022)
3. Huang, Z., Xie, Z.: A patent keywords extraction method using TextRank model with prior public knowledge. Complex Intell. Syst. 8(1), 1–12 (2022)
4. Wu, L.T., Lin, J.R., Leng, S., Li, J.L., Hu, Z.Z.: Rule-based information extraction for mechanical-electrical-plumbing-specific semantic web. Autom. Constr. 135, 104108 (2022)
5. Eroglu, Y.: Text mining approach for trend tracking in scientific research: a case study on forest fire. Fire 6(1), 33 (2023)
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