Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language.

ABSTRACT:

Purpose

Today, the Internet provides access to many patients' experiences, which is crucial in assessing the quality of healthcare services. This paper introduces a model for detecting cancer patients' opinions about healthcare services in the Persian language, both positive and negative.

Method

To achieve the objectives of this study, a combination of sentiment analysis (SA) and topic modeling approaches was employed. All pertinent comments made by cancer patients were collected from the patient feedback form of the Tehran University of Medical Science (TUMS) Cancer Institute (CI) in Iran, from March to October 2021. Conventional evaluation metrics such as accuracy, precision, recall, and F-measure were utilized to assess the performance of the proposed model.

Result

SUBMITTER: Yazdani A 

PROVIDER: S-EPMC10685532 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature