A Comparative Study of Key Themes of Scientific Research Post COVID-19 in the United Arab Emirates and WHO Using Text Mining Approach-Reference-Cited by-同舟云学术

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A Comparative Study of Key Themes of Scientific Research Post COVID-19 in the United Arab Emirates and WHO Using Text Mining Approach

Published:2022 Issue: Volume: Page:341-350
ISSN:2367-3370
Container-title:Advances in Data and Information Sciences
language:
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Author:

Dwivedi Dwijendra Nath,Anand Abhishek

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-5689-7_30

Reference16 articles.

1. Al-Obeidat F, Kafeza E, Spencer B (2018) Opinions sandbox: turning emotions on topics into actionable analytics. Lect Notes Inst Comput Sci Soc-Inf Telecommun Eng LNICST 206:110–119. https://doi.org/10.1007/978-3-319-67837-5_11

2. Alghamdi R, Alfalqi K (2015) A survey of topic modeling in text mining. Int J Adv Comput Sci Appl 6(1):147–153. https://doi.org/10.14569/ijacsa.2015.060121

3. Asmussen CB, Møller C (2019) Smart literature review: a practical topic modelling approach to exploratory literature review. J Big Data 6(1)

4. Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J Mach Learn Res 3:993–1022, null (3/1/2003)

5. Benedetto F, Tedeschi A (2016) Big data sentiment analysis for brand monitoring in social media streams by cloud computing. In: Studies in computational intelligence, vol 639. https://doi.org/10.1007/978-3-319-30319-2_14

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