[HTML][HTML] Sentiment analysis in health and well-being: systematic review

A Zunic, P Corcoran, I Spasic - JMIR medical informatics, 2020 - medinform.jmir.org
Background Sentiment analysis (SA) is a subfield of natural language processing whose
aim is to automatically classify the sentiment expressed in a free text. It has found practical …

Artificial intelligence for participatory health: applications, impact, and future implications

K Denecke, E Gabarron, R Grainger… - Yearbook of medical …, 2019 - thieme-connect.com
Objective: Artificial intelligence (AI) provides people and professionals working in the field of
participatory health informatics an opportunity to derive robust insights from a variety of …

Adverse drug event detection and extraction from open data: A deep learning approach

B Fan, W Fan, C Smith - Information Processing & Management, 2020 - Elsevier
Drug prescription is a task that doctors face daily with each patient. However, when
prescribing drugs, doctors must be conscious of all potential drug side effects. In fact …

From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework

RK Ray, A Singh - Journal of Retailing and Consumer Services, 2025 - Elsevier
In the current landscape, smartwatches have gained popularity as wearable devices thanks
to their fitness tracking and health monitoring capabilities. However, the abundance of …

Identifying complaints based on semi-supervised mincuts

A Singh, S Saha, M Hasanuzzaman… - Expert Systems with …, 2021 - Elsevier
In today's competitive business world, customer service is often at the heart of businesses
that can help strengthen their brands. Customer complaint resolution in a timely and efficient …

Facebook hospital reviews: Automated service quality detection and relationships with patient satisfaction

N Zaman, DM Goldberg, AS Abrahams… - Decision …, 2021 - Wiley Online Library
As patient satisfaction is heavily linked to their choice of provider and medical outcomes,
hospital administrations routinely consider a bevy of factors to improve patient satisfaction …

Automated defect identification for cell phones using language context, linguistic and smoke-word models

MZ Younas, MSI Malik, DI Ignatov - Expert Systems with Applications, 2023 - Elsevier
Product defects are a widespread concern for manufacturers when conducting quality and
customer relationship management. Prior approaches addressed many electronic products …

Text mining approaches for postmarket food safety surveillance using online media

DM Goldberg, S Khan, N Zaman, RJ Gruss… - Risk …, 2022 - Wiley Online Library
Food contamination and food poisoning pose enormous risks to consumers across the
world. As discussions of consumer experiences have spread through online media, we …