Sentiment Analysis for Patient Reviews in Hospitals by CNN and LSTM Neural Networks Using Pretrained Word Embeddings-Reference-Cited by-同舟云学术

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Sentiment Analysis for Patient Reviews in Hospitals by CNN and LSTM Neural Networks Using Pretrained Word Embeddings

Published:2023-10-11 Issue: Volume: Page:
ISSN:
Container-title:2023 Innovations in Intelligent Systems and Applications Conference (ASYU)
language:
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Author:

Altundogan Turan Goktug¹,Karakose Mehmet²,Yılmazer Sümeyye³,Hanoğlu Eray⁴,Demirel Sedef²

Affiliation:

1. Manisa Celal Bayar University,Department of Computer Engineering,Manisa,Turkey

2. Firat University,Department of Computer Engineering,Elazig,Turkey

3. Dahi Information Technologies,Research and Development Department,Istanbul,Turkey

4. Panates Information Technologies,Research and Development Department,İzmir,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10296537/10296542/10296829.pdf?arnumber=10296829

Reference16 articles.

1. Predicting Doctor Ratings from User Reviews using Deep Learning

2. Med-Recommender System for Predictive Analysis of Hospitals and Doctors

3. Service Quality Improvement of Hospital Reservation System Based on Text Sentiment Analysis

4. Healthcare Yelp: Health Care Services Prediction

5. Bidirectional LSTM Deep Model for Online Doctor Reviews Polarity Detection

Cited by 2 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. Patient-Centered Healthcare: A Framework for Analyzing Patient Feedback Through Sentiment Analysis and Topic Modeling;IFIP Advances in Information and Communication Technology;2024

2. BART Fine Tuning based Abstractive Summarization of Patients Medical Questions Texts;2023 4th International Conference on Data Analytics for Business and Industry (ICDABI);2023-10-25

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