Deep associative learning approach for bio-medical sentiment analysis utilizing unsupervised representation from large-scale patients’ narratives-Reference-Cited by-同舟云学术

Deep associative learning approach for bio-medical sentiment analysis utilizing unsupervised representation from large-scale patients’ narratives

Published:2021-08-11 Issue: Volume: Page:
ISSN:1617-4909
Container-title:Personal and Ubiquitous Computing
language:en
Short-container-title:Pers Ubiquit Comput

Author:

Grissette Hanane^ORCID,Nfaoui El Habib

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture

Link

https://link.springer.com/content/pdf/10.1007/s00779-021-01595-4.pdf

Reference29 articles.

1. Grissette H, Nfaoui EH (2020) Enhancing convolution-based sentiment extractor via dubbed N-gram embedding-related drug vocabulary. Netw Model Anal Health Inf Bioinform 9(1):42

2. Rodrigues RG, das Dores RM, Camilo-Junior CG, Rosa TC (2014) SentiHealth-Cancer: a sentiment analysis tool to help detecting mood of patients in online social networks. Int J Med Inform

3. Giustini DM, Ali SM, Fraser M, Boulos MNK (2018) Effective uses of social media in public health and medicine: a systematic review of systematic reviews. Online Journal of Public Health Informatics

4. Portier K, Greer GE, Rokach L, Ofek N, Wang Y, Biyani P, Yu M, Banerjee S, Zhao K, Mitra P, Yen J (2013) Understanding topics and sentiment in an online cancer survivor community. Journal of the National Cancer Institute - Monographs

5. Grissette H, Nfaoui EH (2019) A conditional sentiment analysis model for the embedding patient self-report experiences on social media. Advances in Intelligent Systems and Computing

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