Evolving dictionary based sentiment scoring framework for patient authored text
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-020-00366-z.pdf
Reference26 articles.
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2. Chen Q, Sokolova M (2018) Word2vec and doc2vec in unsupervised sentiment analysis of clinical discharge summaries. arXiv preprint arXiv:1805.00352
3. CSIRO: Commonwealth Scientific and Industrial Research Organisation (2006). https://www.csiro.au/. Accessed 14 Feb 2020
4. Dreisbach C, Koleck TA, Bourne PE, Bakken S (2019) A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data. Int J Med Inform 125:37–46
5. English-NHS: Friends and family test (2016). https://doi.org/10.7748/nm.19.8.13.s14
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