A Top-Down Binary Hierarchical Topic Model for Biomedical Literature-Reference-Cited by-同舟云学术

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A Top-Down Binary Hierarchical Topic Model for Biomedical Literature

Published:2020 Issue: Volume:8 Page:59870-59882
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lin Xiaoguang^ORCID,Liu Mingxuan,Zhang Ju^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09046786.pdf?arnumber=9046786

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Intelligent Semantic Retrieval System for Large-Scale Biomedical Texts;2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT);2024-04-26

2. Topic Modeling as an evaluation basis in literature research – A proposal for a new literature review method for machine-assisted source evaluation using the example of anthropology;Anthropologischer Anzeiger;2023-03-16

3. Question Tags or Text for Topic Modeling: Which is better;Procedia Computer Science;2023

4. Hybrid multi-document text summarization via categorization based on BERT deep learning models;International journal of health sciences;2022-04-20

5. Analysis of Rural Tourism and Environmental Influencing Factors Based on Analytic Hierarchy Model;Wireless Communications and Mobile Computing;2022-03-12

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