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Using Contextual Text Mining Algorithm to Analysis Yearly Trend for Population Ageing and Declining Fertility with Government Science and Technology Projects in Taiwan

Published: 20 December 2021 Publication History
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References

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World Population Ageing 2019 : highlights, United Nations
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F. Kumagai, 2010, “Forty Years of Family Change in Japan: A Society Experiencing Population Aging and Declining Fertility,” Journal of Comparative Family Studies, vol. 41 no.4, pp. 581-610.
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H. N. Su, P. C. Lee, 2010, “Network Perspective of Science and Technology Policy Research Community in Taiwan,” In Proceedings of the Technology Management for Global Economic Growth (PICMET), pp. 194-204.
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H. N. Su, P. C. Lee, C. W. Kang, C. C. Chen, “Investigating Map of Digital Humanity Research Sponsored by Taiwan Government,” In Proceedings of the Management of the Technology Age (PICMET), pp. 879-886.
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W. J. Teahan, Y. Wen, R. McNab, and I. H. Witten, 2000, “A compression-based algorithm for Chinese word segmentation,” Computational Linguistics, vol. 26, no. 3, pp. 375-393.
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C. M. Hong, C. M. Chen, and C. Y. Chiu, 2009, “Automatic extraction of new words based on Google News corpora for supporting lexicon-based Chinese word segmentation systems,” Expert Systems with Applications, vol. 36, no. 2, pp. 3641-3651.
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CKIP Lab | Name-Entity Recognition, https://ckip.iis.sinica.edu.tw/project/ner
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A. Aizawa, 2003, “An Information-Theoretic Perspective of tf-idf Measures,” Information Processing & Management, vol.39, no.1, pp.45-65.
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J. Devlin, 2018, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,” arXiv preprint arXiv:1810.04805.
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“Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing,” Google AI Blog. Retrieved 2019-11-27.
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  • (2024)The Generation of Hybrid Feature-Based Research Topics Using Text Mining and K-Means Algorithms for Government Science and Technology Projects2024 Portland International Conference on Management of Engineering and Technology (PICMET)10.23919/PICMET64035.2024.10652997(1-5)Online publication date: 4-Aug-2024
  • (2022)Using Contextual Text Mining and Ontology Methods to Establish a Novel Technology Trend and Associative Analysis Framework for Sustainable Energy Development in Taiwan2022 IEEE International Conference on Big Data (Big Data)10.1109/BigData55660.2022.10020882(4491-4494)Online publication date: 17-Dec-2022

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CSSE '21: Proceedings of the 4th International Conference on Computer Science and Software Engineering
October 2021
366 pages
ISBN:9781450390675
DOI:10.1145/3494885
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 20 December 2021

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Author Tags

  1. TF-IDF
  2. Word2Vec
  3. contextual text mining
  4. declining fertility
  5. population ageing
  6. sBERT
  7. word segmentation

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  • (2024)The Generation of Hybrid Feature-Based Research Topics Using Text Mining and K-Means Algorithms for Government Science and Technology Projects2024 Portland International Conference on Management of Engineering and Technology (PICMET)10.23919/PICMET64035.2024.10652997(1-5)Online publication date: 4-Aug-2024
  • (2022)Using Contextual Text Mining and Ontology Methods to Establish a Novel Technology Trend and Associative Analysis Framework for Sustainable Energy Development in Taiwan2022 IEEE International Conference on Big Data (Big Data)10.1109/BigData55660.2022.10020882(4491-4494)Online publication date: 17-Dec-2022

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