帳號:guest(3.15.22.117)          離開系統
字體大小: 字級放大   字級縮小   預設字形  

詳目顯示

以作者查詢圖書館館藏以作者查詢臺灣博碩士論文系統以作者查詢全國書目
作者(中文):林欣融
作者(外文):Lin, Christine
論文名稱(中文):以文字探勘為基之文獻計量分析技術進行各國在永續發展目標上之研究發展探索
論文名稱(外文):Analyze country specific and country comparison of research and development in sustainable development goals using text-mining-based bibliometric techniques
指導教授(中文):張瑞芬
指導教授(外文):Trappey, Amy J. C
口試委員(中文):施翠倚
張艾喆
口試委員(外文):Shih, Tsui Yii
Chang, Ai-Che
學位類別:碩士
校院名稱:國立清華大學
系所名稱:工業工程與工程管理學系
學號:110034606
出版年(民國):112
畢業學年度:111
語文別:英文
論文頁數:130
中文關鍵詞:聯合國永續發展目標Latent Dirichlet Allocation (LDA)KeyBERTNormalized Term Frequency (NTF)
外文關鍵詞:Sustainable Development Goals (SDGs)Latent Dirichlet Allocation (LDA)KeyBERTNormalized Term Frequency (NTF)
相關次數:
  • 推薦推薦:0
  • 點閱點閱:99
  • 評分評分:*****
  • 下載下載:0
  • 收藏收藏:0
聯合國於2015年提出了17項永續發展目標(Sustainable Development Goals, SDGs),這17項目標的內容則是關於「人類」、「地球」、「繁榮」、「和平」以及「夥伴關係」,期望所有國家能在2030年之前達成這17項目標。這份研究將探討各國在SDGs文獻的關注議題,並找出各國在SDGs的研究趨勢與其社會經濟狀況的相關性。為了分析不同國家的SDGs的相關研究,本研究透過Web of Science資料庫蒐集在2017 ~ 2021年的各項SDG文獻摘要,並聚焦在作者是來自台灣、美國、英國、日本、南韓、中國、印尼、柬埔寨和寮國的文獻,以利進行國家和跨國之間的文獻計量分析。首先,對於各項SDG,在蒐集9個國家學者在五年間 (2017 ~ 2021)的摘要後,利用Latent Dirichlet Allocation (LDA)主題模型找出各個SDG下的多個主題。另外,分別對於每個國家的摘要利用兩種關鍵字萃取方法,KeyBERT 和Normalized Term Frequency,找出每篇摘要的重要關鍵詞,以確保關鍵詞提取的準確率和效率。本研究展示了不同國家對SDGs的研究趨勢和研究重點。再透過分析各國在一些社會、經濟、環境面向的發展情形,比較各國在SDGs的研究發展優勢和劣勢。最後總結出橫跨多項SDG的重要議題,例如,「Microfinance」同時為SDG 1, SDG 5, SDG 8的重要議題;「GHG emissions」同時為SDG 1, SDG 11的重要議題等。並且針對這些議題提出未來展望,提供更多的研究發展方向,以利我們實現永續發展目標。
Member States of the United Nations had proposed 17 Sustainable Development Goals (SDGs) in 2015 and the goals are about “People,” “Planet,” “Prosperity,” “Peace” and “Partnership.” All countries are expected to achieve these goals in 2030. This study aims to identify the key issues of SDG (in 17 categories) among countries and correlate SDGs research trends with the social economic statuses of different countries and regions. In order to analyze SDG related researches from different countries, all SDG relevant articles under 17 categories, in the database of Web of Science (publications 2017~ 2021 in 5 full years), are collected and analyzed. The documents with authors from Taiwan, USA, UK, Japan, South Korea, China, Indonesia, Cambodia and Laos are selected for further country-specific and cross-country bibliometric analyses. After collecting each SDG abstracts in the whole five years with authors in the 9 countries, Latent Dirichlet Allocation (LDA) is used for discovering detailed concepts of each SDG. Moreover, keyword extraction methods, i.e., KeyBERT and Normalized Term Frequency (NTF), are applied to identify accurate key terms from all abstracts efficiently. This research results have shown research trend and research emphases of SDGs in different countries. Furthermore, this study discusses each country’s research and development in some socio-economic and environmental aspects. At last, important issues across multiple SDGs are summarized, for instance, “microfinance” is an important issue of SDG 1, SDG 5, SDG 8, “GHG emissions” is an important issue of SDG 1, SDG 11, etc. The research and development directions are also recommended, which provide us with the basis for achieving all 17 Sustainable Development Goals.
摘要 I
Abstract II
List of Figures VI
List of Tables VII
1. Introduction 1
1.1 Research background 1
1.2 Research purposes 4
2. Literature review 6
2.1 Sustainable Development Goals 6
2.2 Text mining 8
2.3 Latent Dirichlet Allocation (LDA) 10
2.4 Keyword extraction 11
2.4.1 KeyBERT 12
2.4.2 TF-IDF 13
3. Methodology 15
3.1 Database: Web of Science (WOS) 16
3.2 Text preprocessing 17
3.3 Topic modeling 18
3.4 Key term extraction 19
3.4.1 KeyBERT 21
3.4.2 Normalized Term Frequency (NTF) 23
3.5 Calculate key term importance in each country 24
3.6 Statistical indicators 27
3.6.1 Food security index 27
3.6.2 Gender gap index (GGI) 28
3.6.3 Real GDP growth 28
3.6.4 Global innovation index (GII) science and technology cluster 28
3.6.5 Greenhouse gas (GHG) emissions 29
3.6.6 Marine protected area coverage 29
4. Results 30
4.1 Main concepts of each SDG 30
4.2 Geographic analysis 37
4.2.1 SDG 1 38
4.2.2 SDG 2 43
4.2.3 SDG 3 47
4.2.4 SDG 4 51
4.2.5 SDG 5 55
4.2.6 SDG 6 59
4.2.7 SDG 7 64
4.2.8 SDG 8 67
4.2.9 SDG 9 71
4.2.10 SDG 10 75
4.2.11 SDG 11 79
4.2.12 SDG 12 82
4.2.13 SDG 13 86
4.2.14 SDG 14 90
4.2.15 SDG 15 93
4.2.16 SDG 16 97
4.2.17 SDG 17 102
4.3 Research and development in different countries 106
4.3.1 Food security index 106
4.3.2 Gender gap index (GGI) 107
4.3.3 Real GDP growth 108
4.3.4 Global innovation index (GII) science and technology cluster 110
4.3.5 Greenhouse gas (GHG) emissions 111
4.3.6 Marine protected area coverage 112
5. Discussions 114
6. Conclusions and prospects 117
References 118
Appendix 126

Abdelaziz, A., Santos, V., & Dias, M. S. (2021). Machine Learning Techniques in the Energy Consumption of Buildings: A Systematic Literature Review Using Text Mining and Bibliometric Analysis. Energies, 14(22).
Aggarwal, C.C., Zhai, C. (2012). An Introduction to Text Mining. In: Aggarwal, C., Zhai, C. (eds) Mining Text Data. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-3223-4_1
AGRI FARMING. (2023). Aquaculture In Cambodia - A Full Guide. Retrieved Jan 26, 2023, from https://www.agrifarming.in/aquaculture-in-cambodia-a-full-guide
Balakrishnan, V., & Ethel, L.-Y. (2014). Stemming and Lemmatization: A Comparison of Retrieval Performances. Lecture Notes on Software Engineering, 2, 262-267. https://doi.org/10.7763/LNSE.2014.V2.134
Blei, D.M., Ng, A.Y. & Jordan, M.I. (2003) Latent Dirichlet Allocation. The Journal of Machine Learning Research, 3, 993-1022.
Bradley, J. (2022). Lessons from Cambodia on enhancing gender equality in the water sector. Retrieved Jan 19, 2023, from https://www.awa.asn.au/resources/latest-news/lessons-from-cambodia-on-enhancing-gender-equality-in-the-water-sector
Caragea, C., Bulgarov, F.A., Godea, A, & Gollapalli, S.D. 2014. Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1435–1446, Doha, Qatar. Association for Computational Linguistics.
Cheng, X., Cao, Q., & Liao, S. S. (2020). An overview of literature on COVID-19, MERS and SARS: Using text mining and latent Dirichlet allocation. Journal of Information Science, 48(3), 304-320. https://doi.org/10.1177/0165551520954674
Deep Knowledge Analytics. (2022). Global Food Security Q2 2022. https://www.dka.global/global-food-security-q2-2022
Department of Climate Change, Energy, the Environment and Water. (2003). The benefits of MARINE PROTECTED AREAS. https://www.dcceew.gov.au/sites/default/files/documents/benefits-mpas.pdf
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805. https://doi.org/10.48550/arXiv.1810.04805
Dharmaraj, S. (2021). Smart Grid Systems to power Indonesia. Retrieved Jan 19, 2023, from https://opengovasia.com/smart-grid-systems-to-power-indonesia/
DIVE CONCEPTS BALI. (2023). Hammerhead Shark - A unique kind of shark. Retrieved Jan 29, 2023, from https://diveconcepts.com/hammerhead-shark-banda-sea
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/https://doi.org/10.1016/j.jbusres.2021.04.070
Elza, E., & Daniel, S. (2019). Income Contingent Loans Can Provide Equal Access to Higher Education in Indonesia. Retrieved Jan 19, 2023, from https://www.austaxpolicy.com/income-contingent-loans-can-provide-equal-access-to-higher-education-in-indonesia/
European Commission. (2023). Green Public Procurement. Retrieved May 6, 2023, from https://ec.europa.eu/environment/gpp/index_en.htm
Farchy, T. (2019). TOP 10 FACTS ABOUT GIRLS’ EDUCATION IN LAOS. Retrieved Jan 19, 2023, from https://borgenproject.org/top-10-facts-about-girls-education-in-laos/
Feldman, R., & Sanger, J. (2006). The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge: Cambridge University Press. doi:10.1017/CBO9780511546914
Food and Agriculture Organization of the United Nations. (2021). Climate-smart agriculture case studies 2021 - Projects from around the world https://doi.org/https://doi.org/10.4060/cb5359en
Food and Agriculture Organization of United Nations. (2022a). Climate change, pandemic damaging agricultural production. Retrieved Jan, 5, 2023, from https://www.fao.org/laos/news/detail-events/es/c/1473131/
Food and Agriculture Organization of United Nations. (2022b). Conservation Agriculture. Retrieved Dec 15, 2022, from https://www.fao.org/conservation-agriculture/en/
Food and Agriculture Organization of United Nations. (2022c). Sustainable Development Goals: Indicator 2.1.2 Prevalence of moderate or severe food insecurity in the population, based on the Food Insecurity Experience Scale. Retrieved Oct 26, 2022, from https://www.fao.org/sustainable-development-goals/indicators/212/zh/
Garoudja, E., Harrou, F., Sun, Y., Kara, K., Chouder, A., & Silvestre, S. (2017). Statistical fault detection in photovoltaic systems. Solar Energy, 150, 485-499. https://doi.org/https://doi.org/10.1016/j.solener.2017.04.043
Gender Equality Committee of the Executive Yuan. (2022). Gender Gap Index, GGI. Retrieved Apr 29, 2023, from https://gec.ey.gov.tw/page/E0810325D36C4E10
Giarelis, N., Kanakaris, N., & Karacapilidis, N. (2021). A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction. In: Maglogiannis, I., Macintyre, J., Iliadis, L. (eds) Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology, vol 627. Springer, Cham. https://doi.org/10.1007/978-3-030-79150-6_50
Grootendorst, M. (2020). KeyBERT: Minimal keyword extraction with BERT. Zenodo. https://doi.org/10.5281/zenodo.4461265
Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794. https://doi.org/10.48550/arXiv.2203.05794
Gurcan, F., Ozyurt, O., & Cagitay, N. E. (2021). Investigation of Emerging Trends in the E-Learning Field Using Latent Dirichlet Allocation. The International Review of Research in Open and Distributed Learning, 22(2), 1-18. https://doi.org/10.19173/irrodl.v22i2.5358
His Hands Support Ministries. (2023). His Hands for Indonesia. Retrieved Jan 30, 2023, from http://www.hishandssupportministries.org/indonesia
Hák, T., Janoušková, S., & Moldan, B. (2016). Sustainable Development Goals: A need for relevant indicators. Ecological indicators, 60, 565-573. https://doi.org/https://doi.org/10.1016/j.ecolind.2015.08.003
Hung KKC, Mashino S, Chan EYY, MacDermot MK, Balsari S, Ciottone GR, Della Corte F, Dell’Aringa MF, Egawa S, Evio BD, Hart A, Hu H, Ishii T, Ragazzoni L, Sasaki H, Walline JH, Wong CS, Bhattarai HK, Dalal S, Kayano R, Abrahams J, & Graham CA. (2021). Health Workforce Development in Health Emergency and Disaster Risk Management: The Need for Evidence-Based Recommendations. International Journal of Environmental Research and Public Health 18(7), 3382. https://doi.org/10.3390/ijerph18073382
International Hydropower Association. (2019). COUNTRY PROFILE Cambodia. Retrieved Jan 30, 2023, from https://www.hydropower.org/country-profiles/cambodia
International Monetary Fund. (2021). Real GDP growth. Retrieved Apr 29, 2023, from https://www.imf.org/external/datamapper/NGDP_RPCH@WEO/OEMDC/ADVEC/WEOWORLD
Jain, A. K., & Dubes, R. C. (1988). Algorithms for Clustering Data. Upper Saddle River, NJ: Prentice-Hall, Inc. http://dl.acm.org/citation.cfm?id=SERIES10022.42779
Jelodar, H., Wang, Y., Yuan, C., Feng, X., Jiang, X., Li, Y., & Zhao, L. (2019). Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey. Multimedia Tools and Applications, 78(11), 15169-15211. https://doi.org/10.1007/s11042-018-6894-4
KAZUO, Y. (2019). JAPAN’S GENDER GAP. Retrieved Jan 19, 2023, from https://www.imf.org/en/Publications/fandd/issues/2019/03/gender-equality-in-japan-yamaguchi
Khan, T. A., Khan, F. A., Violinda, Q., Aasir, I., & Jian, S. (2020). Microfinance Facility for Rural Women Entrepreneurs in Pakistan: An Empirical Analysis. Agriculture, 10(3).
Kim, E. M. (2017). Gender and the Sustainable Development Goals. Global Social Policy, 17(2), 239-244. https://doi.org/10.1177/1468018117703444
Schwab, K., Samans, R., Zahidi, S., Leopold, T. A., Ratcheva, V., Hausmann, R., & Tyson, L. D. (2017). The global gender gap report 2017. World Economic Forum.
Kong, X., Si, D.-K., Li, H., & Kong, D. (2021). Does access to credit reduce SMEs’ tax avoidance? Evidence from a regression discontinuity design. Financial Innovation, 7(1), 18. https://doi.org/10.1186/s40854-021-00235-3
Li, X., Xie, Q., Daim, T., & Huang, L. (2019). Forecasting technology trends using text mining of the gaps between science and technology: The case of perovskite solar cell technology. Technological Forecasting and Social Change, 146, 432-449. https://doi.org/10.1016/j.techfore.2019.01.012
Macrotrends LLC. (2023). Taiwan Population 1950-2023. Retrieved Apr 23, 2023, from https://www.macrotrends.net/countries/TWN/taiwan/population
Maltais, A., Weitz, N., & Persson, Å. (2018). SDG 17: Partnerships for the Goals. A Review of Research Needs. Technical annex to the Formas report Forskning för Agenda 2030: Översikt av forskningsbehov och vägar framåt. Stockholm Environment Insitute, Stockholm.
Mathur, A., & Suchithra, M. (2022). Application of Abstractive Summarization in Multiple Choice Question Generation. 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), Greater Noida, India. http://doi.org/10.1109/CISES54857.2022.9844396.
Minaee, S., Kalchbrenner, N., Cambria, E., Nikzad, N., Chenaghlu, M., & Gao, J. (2021). Deep learning--based text classification: a comprehensive review. ACM Computing Surveys (CSUR), 54(3), 1-40.
Plisson, J., Lavrac, N., & Mladenic, D. (2004). A rule based approach to word lemmatization. In Proceedings of the 7th International MultiConference Information Society IS 2004, Ljubljana, Slovenia.
Protected Planet. (2023a). Explore protected areas and OECMs. Retrieved Apr 29, 2023, from https://www.protectedplanet.net/en/search-areas?geo_type=country&filters%5Bis_type%5D%5B%5D=marine
Protected Planet. (2023b). Protected Area Profile for Lao People's Democratic Republic from the World Database on Protected Areas. Retrieved Feb 2, 2023, from https://www.protectedplanet.net/country/LAO
Qaiser, S., & Ali, R. (2018). Text Mining: Use of TF-IDF to Examine the Relevance of Words to Documents. International Journal of Computer Applications, 181. https://doi.org/10.5120/ijca2018917395
Radford, A., Narasimhan, K., Salimans, T., & Sutskever, I. (2018). Improving language understanding by generative pre-training.
Rambu Atahau, A. D., Huruta, A. D., & Lee, C.-W. (2020). Rural microfinance sustainability: Does local wisdom driven - governance work? Journal of Cleaner Production, 267, 122153. https://doi.org/https://doi.org/10.1016/j.jclepro.2020.122153
REGlobal. (2020). Laos promotes hydropower to become the “Battery of Southeast Asia”. Retrieved Jan 30, 2023, from https://reglobal.co/hydro-power-development-in-laos/
Romero-Silva, R., & de Leeuw, S. (2021). Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews. Omega, 100, 102388. https://doi.org/https://doi.org/10.1016/j.omega.2020.102388
Saeed, A. (2022). Mobilizing Financial Resources for Post COVID-19 Economic Recovery - Ahmed Saeed. Retrieved Apr 7, 2022, from https://www.adb.org/news/speeches/mobilizing-financial-resources-post-covid-19-economic-recovery-ahmed-saeed
Sharma, P., & Li, Y. (2019). Self-Supervised Contextual Keyword and Keyphrase Retrieval with Self-Labelling. Preprints.org 2019, 2019080073. https://doi.org/10.20944/preprints201908.0073.v1
Sinaga, K. P., & Yang, M. S. (2020). Unsupervised K-Means Clustering Algorithm. IEEE access, 8, 80716-80727. https://doi.org/10.1109/ACCESS.2020.2988796
Son, M. (2023). Climate change and sustainable agriculture in Cambodia. Retrieved Jan, 5, 2023, from https://cpsa-growasia.org/en/climate-change-and-sustainable-agriculture-in-cambodia/
Stafford-Smith, M., Griggs, D., Gaffney, O., Ullah, F., Reyers, B., Kanie, N., Stigson, B., Shrivastava, P., Leach, M., & O’Connell, D. (2017). Integration: the key to implementing the Sustainable Development Goals. Sustainability science, 12(6), 911-919. https://doi.org/10.1007/s11625-016-0383-3
Sutiyo, Pitono, A., Raharjanto, T., & Sinaga, J. B. B. (2020). Woman Microfinance in Indonesia: Present Status and Future Direction. International Journal of Rural Management, 16(1), 105-124. https://doi.org/10.1177/0973005219898922
Teklewold, H. (2021). How effective is Ethiopia’s agricultural growth program at improving the total factor productivity of smallholder farmers? Food Security, 13(4), 895-912. https://doi.org/10.1007/s12571-021-01175-7
The National Council for Sustainable Development. (2019). Public Awareness of Climate Change in Tourism Sector. Retrieved Jan 5, 2023, from https://ncsd.moe.gov.kh/dcc/project/public-awareness-climate-change-tourism-sector
The World Bank. (2022). Metadata Glossary: Marine protected areas (% of territorial waters). Retrieved Oct 26, 2022, from https://databank.worldbank.org/metadataglossary/world-development-indicators/series/ER.MRN.PTMR.ZS
The World Bank Group. (2023). Population, total. Retrieved Apr 23, 2023, from https://data.worldbank.org/indicator/SP.POP.TOTL
Trappey, A. J. C., Trappey, C. V., Govindarajan, U. H., & Jhuang, A. C. C. (2018). Construction and validation of an ontology-based technology function matrix: Technology mining of cyber physical system patent portfolios. World Patent Information, 55, 19-24. https://doi.org/https://doi.org/10.1016/j.wpi.2018.08.001
Tsai, W.-T. (2017). Green public procurement and green-mark products strategies for mitigating greenhouse gas emissions—experience from Taiwan. Mitigation and Adaptation Strategies for Global Change, 22(5), 729-742. https://doi.org/10.1007/s11027-015-9695-3
United Nations Department of Economic and Social Affairs. (2022a). The Sustainable Development Goals Report 2022. https://unstats.un.org/sdgs/report/2022/The-Sustainable-Development-Goals-Report-2022.pdf
United Nations Department of Economic and Social Affairs. (2022b). Transforming our world: the 2030 Agenda for Sustainable Development. Retrieved Oct 25, 2022, from https://sdgs.un.org/2030agenda
United Nations Department of Economic and Social Affairs. (2023). Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all. Retrieved Apr 29, 2023, from https://sdgs.un.org/goals/goal8
United Nations Office for the Coordination of Humanitarian Affairs. (2019). Country gender assessment of agriculture and the rural sector in Indonesia. Retrieved Jan 19, 2023, from https://reliefweb.int/report/indonesia/country-gender-assessment-agriculture-and-rural-sector-indonesia
United Nations Statistics Division. (2022). SDG Indicators: Data collection Information & Focal points. Retrieved Nov 6, 2022, from https://unstats.un.org/sdgs/dataContacts/?selectIndicator=8.1.1+Annual+growth+rate+of+real+GDP+per+capita&selectAgency=
Vanhala, M., Lu, C., Peltonen, J., Sundqvist, S., Nummenmaa, J., & Järvelin, K. (2020). The usage of large data sets in online consumer behaviour: A bibliometric and computational text-mining–driven analysis of previous research. Journal of Business Research, 106, 46-59. https://doi.org/https://doi.org/10.1016/j.jbusres.2019.09.009
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30.
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), 233. https://doi.org/10.1038/s41467-019-14108-y
Wang, Y., Lee Hyun, W., Tang, W., Whittington, J., & Qiang, M. (2021). Structural Equation Modeling for the Determinants of International Infrastructure Investment: Evidence from Chinese Contractors. Journal of Management in Engineering, 37(4), 04021033. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000933
World Health Organization. (2019). Health emergency and disaster risk management framework. World Health Organization. https://apps.who.int/iris/handle/10665/326106
World Intellectual Property Organization. (2022a). Global Innovation Index 2022: What is the future of innovation-driven growth? Geneva: WIPO. https://doi.org/10.34667/tind.46596
World Intellectual Property Organization. (2022b). Global Innovation Index (GII). Retrieved Oct 26, 2022, from https://www.wipo.int/global_innovation_index/en/
World Intellectual Property Organization. (2022c). The Impact of Innovation: WIPO and the Sustainable Development Goals. Retrieved Nov 6, 2022, from https://www.wipo.int/sdgs/en/story.html#WIPO-and-the-SDGs-syCByuuIlQ
Yang, Z., Dai, Z., Yang, Y., Carbonell, J., Salakhutdinov, R. R., & Le, Q. V. (2019). Xlnet: Generalized autoregressive pretraining for language understanding. Advances in neural information processing systems, 32.
Zhang, K., Xu, H., Tang, J., & Li, J. (2006). Keyword Extraction Using Support Vector Machine. In: Yu, J.X., Kitsuregawa, M., Leong, H.V. (eds) Advances in Web-Age Information Management. WAIM 2006. Lecture Notes in Computer Science, vol 4016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11775300_8
Zhang, W., Yoshida, T., & Tang, X. (2011). A comparative study of TF*IDF, LSI and multi-words for text classification. Expert systems with applications, 38(3), 2758-2765. https://doi.org/https://doi.org/10.1016/j.eswa.2010.08.066
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
* *