Comparative Study of Unsupervised Keyword Extraction Methods for Job Recommendation in an Industrial Environment
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-33080-3_37
Reference13 articles.
1. Bennani-Smires, K., Musat, C., Hossmann, A., Baeriswyl, M., Jaggi, M.: Simple unsupervised keyphrase extraction using sentence embeddings. arXiv preprint arXiv:1801.04470 (2018)
2. Campos, R., Mangaravite, V., Pasquali, A., Jorge, A., Nunes, C., Jatowt, A.: Yake! keyword extraction from single documents using multiple local features. Inf. Sci. 509, 257–289 (2020)
3. Grootendorst, M.: Keybert: Minimal keyword extraction with bert (2020). https://doi.org/10.5281/zenodo.4461265
4. Ma, J.: Research on keyword extraction algorithm in English text based on cluster analysis. Comput. Intell. Neurosci. 2022 (2022)
5. Mahdi, H.F., Dagli, R., Mustufa, A., Nanivadekar, S.: Job descriptions keyword extraction using attention based deep learning models with BERT. In: 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), pp. 1–6. IEEE (2021)
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