Using FastText-BERT to Extract Semantic Relations and Improve Sentiment Analysis of Persian Healthcare Service Reviews
Introduction: The analysis of patients’ opinions is considered a valuable indicator for assessing the quality of healthcare services. The increasing volume of textual reviews about healthcare has made these reviews a critical factor in other patients’ decision-making processes when selecting medical...
Saved in:
| Main Authors: | Faezeh Forootan, Raouf Khayami, Pirooz Shamsinejad |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Shiraz University of Medical Sciences
2025-01-01
|
| Series: | مجله علوم پزشکی صدرا |
| Subjects: | |
| Online Access: | https://smsj.sums.ac.ir/article_50773_7744ec54d51130074e8f1dca0bb3e230.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Information Retrieval Method for the Qur’an based on FastText and Latent Semantic Indexing
by: aziz ramadhan, et al.
Published: (2025-05-01) -
Recursive Sentiment Detection Algorithm for Russian Sentences
by: Anatoliy Y. Poletaev, et al.
Published: (2022-06-01) -
Aspect Sentiment Triplet Extraction with Syntax-Semantics Graph Convolutional Network
by: Jingyun Zhang, et al.
Published: (2025-07-01) -
Double accusative cases in old Persian constructions
by: Sahar Vahdati Hosseinian, et al.
Published: (2025-06-01) -
A Conjunction in the Arabic–Persian–Turkish Triangle: On the Semantic and Syntactic Characteristics of the Conjunction Belki ~ Belkim in Old Anatolian and Ottoman Turkish
by: Öznur Durgun
Published: (2024-08-01)