AIMC Topic: Sentiment Analysis
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Sentiment analysis of Indonesian tweets on COVID-19 and COVID-19 vaccinations.
F1000Research
Apr 16, 2024
BACKGROUND: Sentiments and opinions regarding COVID-19 and the COVID-19 vaccination on Indonesian-language Twitter are scarcely reported in one comprehensive study, and thus were aimed at our study. We also analyzed fake news and facts, and Twitter e...
Sentiment analysis using averaged weighted word vector features.
PloS one
Apr 4, 2024
People use the World Wide Web heavily to share their experiences with entities such as products, services or travel destinations. Texts that provide online feedback through reviews and comments are essential for consumer decisions. These comments cre...
Does Pollyanna hypothesis hold true in death narratives? A sentiment analysis approach.
Acta psychologica
Apr 1, 2024
Pollyanna hypothesis claims that human beings have a universal tendency to use positive words more frequently and broadly than negative words. The present study aims to test Pollyanna hypothesis in medical death narratives at both lexical and text le...
Chinese text dual attention network for aspect-level sentiment classification.
PloS one
Mar 7, 2024
English text has a clear and compact subject structure, which makes it easy to find dependency relationships between words. However, Chinese text often conveys information using situational settings, which results in loose sentence structures, and ev...
Enhancing machine learning-based sentiment analysis through feature extraction techniques.
PloS one
Feb 14, 2024
A crucial part of sentiment classification is featuring extraction because it involves extracting valuable information from text data, which affects the model's performance. The goal of this paper is to help in selecting a suitable feature extraction...
A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data.
JMIR mental health
Jan 25, 2024
BACKGROUND: Health care providers and health-related researchers face significant challenges when applying sentiment analysis tools to health-related free-text survey data. Most state-of-the-art applications were developed in domains such as social m...
A new word embedding model integrated with medical knowledge for deep learning-based sentiment classification.
Artificial intelligence in medicine
Jan 8, 2024
The development of intelligent systems that use social media data for decision-making processes in numerous domains such as politics, business, marketing, and finance, has been made possible by the popularity of social media platforms. However, the u...
How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining.
Informatics for health & social care
Jan 4, 2024
To assess the overall experience of a patient in a hospital, many factors must be analyzed; nonetheless, one of the key aspects is the performance of nurses as they closely interact with patients on many occasions. Nurses carry out many tasks that co...
Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language.
BMC medical informatics and decision making
Nov 29, 2023
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 Persi...
Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials.
Journal of chemical information and modeling
Nov 20, 2023
The scientific literature contains valuable information that can be used for future applications, but manual analysis presents challenges due to its size and disciplinary boundaries. The prevailing solution involves natural language processing (NLP) ...
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