Analysing Emotions in Cancer Narratives: A Corpus-Driven Approach
Cancer not only affects a patient's physical health, but it can also elicit a wide spectrum of
intense emotions in patients, friends, and family members. People with cancer and their …
intense emotions in patients, friends, and family members. People with cancer and their …
Sentiment analysis in medical settings: New opportunities and challenges
K Denecke, Y Deng - Artificial intelligence in medicine, 2015 - Elsevier
Objective Clinical documents reflect a patient's health status in terms of observations and
contain objective information such as descriptions of examination results, diagnoses and …
contain objective information such as descriptions of examination results, diagnoses and …
[HTML][HTML] Sentiment analysis of clinical narratives: a scoping review
K Denecke, D Reichenpfader - Journal of Biomedical Informatics, 2023 - Elsevier
A clinical sentiment is a judgment, thought or attitude promoted by an observation with
respect to the health of an individual. Sentiment analysis has drawn attention in the …
respect to the health of an individual. Sentiment analysis has drawn attention in the …
Sentiment Analysis in Greek Clinical Conversations: A Comparative Study of BERT, VADER, and Lexicon Approaches
ME Chatzimina, N Oikonomou… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Sentiment analysis, a subfield of Natural Language Processing (NLP), focuses on the study
of emotions expressed in text data. While extensively used in major languages such as …
of emotions expressed in text data. While extensively used in major languages such as …
A Comparative Sentiment Analysis of Greek Clinical Conversations Using BERT, RoBERTa, GPT-2, and XLNet
ME Chatzimina, HA Papadaki, C Pontikoglou… - Bioengineering, 2024 - mdpi.com
In addressing the critical role of emotional context in patient–clinician conversations, this
study conducted a comprehensive sentiment analysis using BERT, RoBERTa, GPT-2, and …
study conducted a comprehensive sentiment analysis using BERT, RoBERTa, GPT-2, and …
[PDF][PDF] A corpus-driven approach to sentiment analysis of patient narratives
This paper describes the linguistic analysis of a corpus of patient narratives that was used to
develop and test software to carry out sentiment analysis on the aforementioned corpus …
develop and test software to carry out sentiment analysis on the aforementioned corpus …
A software pipeline based on sentiment analysis to analyze narrative medicine texts
By using social media people can exchange sentiments and emotions, allowing to
understand public opinion on specific issues. Sentiment Analysis (SA) is a novel text-mining …
understand public opinion on specific issues. Sentiment Analysis (SA) is a novel text-mining …
The Future of Medical Sentiment Analysis
K Denecke - Sentiment Analysis in the Medical Domain, 2023 - Springer
After analysing strengths, weaknesses, opportunities and threats of medical sentiment
analysis, this chapter outlines a potentials for future research in this field. The use cases …
analysis, this chapter outlines a potentials for future research in this field. The use cases …
The importance of pronouns to sentiment analysis: online cancer survivor network case study
Online health communities are a major source for patients and their informal caregivers in
the process of gathering information and seeking social support. The Cancer Survivors …
the process of gathering information and seeking social support. The Cancer Survivors …
S180. defining clinical sentiment in psychosis patient health records
E Holderness, P Cawkwell… - Biological …, 2019 - biologicalpsychiatryjournal.com
Background Recently natural language processing (NLP) tools have been developed to
identify important risk factors in electronic health records (EHRs). Sentiment analysis, a field …
identify important risk factors in electronic health records (EHRs). Sentiment analysis, a field …