Dr. Tevfik Bulut Presented “SentimHasta Pro” at INFTEC 2025: A Novel Method for Analyzing Patient Feedback in Healthcare
29.05.2025

The paper titled “Analysis of Patient Feedback: An Interactive Tool for Sentiment and Topic Modeling with Multi-Format Support and Turkish Language Processing,” led by Dr. Tevfik BULUT, a faculty member of the Department of Nursing at Atılım University, and developed with contributions from Dr. Sıdıka GÜLER, was presented at the 2nd International Congress on Information Technologies (INFTEC 2025) held in Budapest, Hungary on May 22–23, 2025.

This study, led by Dr. Bulut, aims to contribute to the improvement of patient experience and enhancement of service quality in healthcare. In this context, the interactive R Shiny-based analysis tool called “SentimHasta Pro” has been designed specifically for the systematic analysis of patient feedback in the Turkish language. The application employs advanced analytic techniques such as sentiment analysis (classifying feedback as positive, negative, or neutral) and Latent Dirichlet Allocation (LDA)-based topic modeling to extract comprehensive insights from patient feedback.

We congratulate them on this achievement and wish them continued success.