Opinion Mining for the Tweets in Healthcare Sector using Fuzzy Association Rule-Reference-Cited by-同舟云学术

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Opinion Mining for the Tweets in Healthcare Sector using Fuzzy Association Rule

Published:2018-10-30 Issue:16 Volume:4 Page:159861
ISSN:2411-7145
Container-title:EAI Endorsed Transactions on Pervasive Health and Technology
language:en
Short-container-title:EAI Endorsed Transactions on Pervasive Health and Technology

Author:

Mittal Mamta,Kaur Iqbaldeep,Pandey Subhash,Verma Amit,Goyal Lalit

Publisher

European Alliance for Innovation n.o.

Subject

Health Informatics,Computer Science (miscellaneous)

Cited by 15 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. Robust Fake Review Detection Using Uncertainty-Aware LSTM and BERT;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

2. Using Machine Learning to Establish the Concerns of Persons With HIV/AIDS During the COVID-19 Pandemic From Their Tweets;IEEE Access;2023

3. Emotional Recognition and Expression Based on People to Improve Well-Being;Computational Methods in Psychiatry;2023

4. Application of Genetic Algorithm and U-Net in Brain Tumor Segmentation and Classification: A Deep Learning Approach;Computational Intelligence and Neuroscience;2022-09-15

5. Fake News Classification using transformer based enhanced LSTM and BERT;International Journal of Cognitive Computing in Engineering;2022-06

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