Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation.

Ossai, Chinedu I; Wickramasinghe, Nilmini

Ossai, Chinedu I; Wickramasinghe, Nilmini.

Affiliation

Ossai CI; School of Health Sciences, Department of Health and Biostatistics, Swinburne University, John Street Hawthorn, Victoria 3122, Australia. Electronic address: ossaic@gmail.com.
Wickramasinghe N; School of Health Sciences, Department of Health and Biostatistics, Swinburne University, John Street Hawthorn, Victoria 3122, Australia.

Artif Intell Med ; 138: 102509, 2023 04.

Article in En | MEDLINE | ID: mdl-36990592

Subject(s)

Diabetes Mellitus; Mobile Applications; Humans; Diabetes Mellitus/diagnosis; Diabetes Mellitus/therapy; Communication; Neural Networks, Computer; Attitude

Key words

Deep Neural Network; Diabetes mobile app; KMeans; Latent Dirichlet Allocation; User sentiments; Word embedding

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Full text: 1 Database: MEDLINE Main subject: Diabetes Mellitus / Mobile Applications Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2023 Type: Article

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