A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models
Z Wang, RS Srinivasan - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
Building energy use prediction plays an important role in building energy management and
conservation as it can help us to evaluate building energy efficiency, conduct building …
conservation as it can help us to evaluate building energy efficiency, conduct building …
[HTML][HTML] Utilizing social media data for pharmacovigilance: a review
Abstract Objective Automatic monitoring of Adverse Drug Reactions (ADRs), defined as
adverse patient outcomes caused by medications, is a challenging research problem that is …
adverse patient outcomes caused by medications, is a challenging research problem that is …
[HTML][HTML] Leveraging Twitter data to understand public sentiment for the COVID‐19 outbreak in Singapore
KM Ridhwan, CA Hargreaves - International Journal of Information …, 2021 - Elsevier
Microblogging has become one of the most useful tools for sharing everyday life events and
news and for expressing opinions about those events. As Twitter posts are short and …
news and for expressing opinions about those events. As Twitter posts are short and …
[PDF][PDF] Performance of machine learning algorithms with different K values in K-fold CrossValidation
The numerical value of k in a k-fold cross-validation training technique of machine learning
predictive models is an essential element that impacts the model's performance. A right …
predictive models is an essential element that impacts the model's performance. A right …
[HTML][HTML] Portable automatic text classification for adverse drug reaction detection via multi-corpus training
A Sarker, G Gonzalez - Journal of biomedical informatics, 2015 - Elsevier
Objective Automatic detection of adverse drug reaction (ADR) mentions from text has
recently received significant interest in pharmacovigilance research. Current research …
recently received significant interest in pharmacovigilance research. Current research …
Systematic literature review of sentiment analysis on Twitter using soft computing techniques
Sentiment detection and classification is the latest fad for social analytics on Web. With the
array of practical applications in healthcare, finance, media, consumer markets, and …
array of practical applications in healthcare, finance, media, consumer markets, and …
Using Twitter for public health surveillance from monitoring and prediction to public response
Twitter is a social media platform where over 500 million people worldwide publish their
ideas and discuss diverse topics, including their health conditions and public health events …
ideas and discuss diverse topics, including their health conditions and public health events …
Harnessing social media for health information management
The remarkable upsurge of social media has dramatic impacts on health care research and
practice. Social media are reshaping health information management in a variety of ways …
practice. Social media are reshaping health information management in a variety of ways …
What's the tone? Easy doesn't do it: Analyzing performance and agreement between off-the-shelf sentiment analysis tools
This article scrutinizes the method of automated content analysis to measure the tone of
news coverage. We compare a range of off-the-shelf sentiment analysis tools to manually …
news coverage. We compare a range of off-the-shelf sentiment analysis tools to manually …
Social media analytics: Literature review and directions for future research
AK Rathore, AK Kar, PV Ilavarasan - Decision Analysis, 2017 - pubsonline.informs.org
Businesses are currently using social media analytics (SMA) to develop insights for
improving performance and productivity across different functions. The SMA knowledge is …
improving performance and productivity across different functions. The SMA knowledge is …