Research proposal content extraction using natural language processing and semi-supervised clustering: A demonstration and comparative analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11192-023-04689-3.pdf
Reference76 articles.
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2. Allaoui, M., Kherfi, M. L., & Cheriet, A. (2020). Considerably Improving Clustering Algorithms Using UMAP Dimensionality Reduction Technique: A Comparative Study. In A. El Moataz, D. Mammass, A. Mansouri, & F. Nouboud (Eds.), Image and Signal Processing (pp. 317–325). Springer International Publishing.
3. Almeida, F., & Xexéo, G. (2019). Word Embeddings: A Survey. http://arxiv.org/abs/1901.09069
4. Arnarsson, I. O., Frost, O., Gustavsson, E., Jirstrand, M., & Malmqvist, J. (2021). Natural language processing methods for knowledge management-applying document clustering for fast search and grouping of engineering documents. Concurrent Engineering, 29(2), 142–152. https://doi.org/10.1177/1063293X20982973
5. Asyaky, M. S., & Mandala, R. (2021). Improving the Performance of HDBSCAN on Short Text Clustering by Using Word Embedding and UMAP. 2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA), 1–6. https://doi.org/10.1109/ICAICTA53211.2021.9640285
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