[HTML][HTML] Sentiment analysis in health and well-being: systematic review
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 …
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
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 …
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 …
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
In the current landscape, smartwatches have gained popularity as wearable devices thanks
to their fitness tracking and health monitoring capabilities. However, the abundance of …
to their fitness tracking and health monitoring capabilities. However, the abundance of …
Identifying complaints based on semi-supervised mincuts
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 …
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
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 …
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
Product defects are a widespread concern for manufacturers when conducting quality and
customer relationship management. Prior approaches addressed many electronic products …
customer relationship management. Prior approaches addressed many electronic products …
Text mining approaches for postmarket food safety surveillance using online media
Food contamination and food poisoning pose enormous risks to consumers across the
world. As discussions of consumer experiences have spread through online media, we …
world. As discussions of consumer experiences have spread through online media, we …