[HTML][HTML] Analytics of social media data–State of characteristics and application
The spread and use of social networks provide a rich data source that can be used to
answer a wide range of research questions from various disciplines. However, the nature of …
answer a wide range of research questions from various disciplines. However, the nature of …
Social Media Analysis to Enhance Sustainable Knowledge Management: A Concise Literature Review
AM Alghamdi, SF Pileggi, O Sohaib - Sustainability, 2023 - mdpi.com
Although knowledge management relying on data from social networks has become an
integral part of common practices, there needs to be a well-defined body of knowledge that …
integral part of common practices, there needs to be a well-defined body of knowledge that …
Augmented reality and virtual reality in education: Public perspectives, sentiments, attitudes, and discourses
This study aims to understand the public's perspectives, sentiments, attitudes, and
discourses regarding the adoption, integration, and use of augmented reality and virtual …
discourses regarding the adoption, integration, and use of augmented reality and virtual …
Transfer learning assisted classification and detection of Alzheimer's disease stages using 3D MRI scans
Alzheimer's disease effects human brain cells and results in dementia. The gradual
deterioration of the brain cells results in disability of performing daily routine tasks. The …
deterioration of the brain cells results in disability of performing daily routine tasks. The …
An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM
The modern society runs over the social media for their most time of every day. The web
users spend their most time in social media and they share many details with their friends …
users spend their most time in social media and they share many details with their friends …
Influence of pre-processing strategies on the performance of ML classifiers exploiting TF-IDF and BOW features
AP Pimpalkar, RJR Raj - ADCAIJ: Advances in Distributed Computing …, 2020 - torrossa.com
Opinion Mining (OM) continues with the implementation of technology that can distinguish
positive and negative expressions that are part of conversations and remarks. Because of …
positive and negative expressions that are part of conversations and remarks. Because of …
A data augmentation-based framework to handle class imbalance problem for Alzheimer's stage detection
Alzheimer's Disease (AD) is the most common form of dementia. It gradually increases from
mild stage to severe, affecting the ability to perform common daily tasks without assistance. It …
mild stage to severe, affecting the ability to perform common daily tasks without assistance. It …
A gradient boosted decision tree-based sentiment classification of twitter data
S Neelakandan, D Paulraj - International Journal of Wavelets …, 2020 - World Scientific
People communicate their views, arguments and emotions about their everyday life on
social media (SM) platforms (eg Twitter and Facebook). Twitter stands as an international …
social media (SM) platforms (eg Twitter and Facebook). Twitter stands as an international …
What types of COVID-19 conspiracies are populated by Twitter bots?
E Ferrara - arXiv preprint arXiv:2004.09531, 2020 - arxiv.org
With people moving out of physical public spaces due to containment measures to tackle the
novel coronavirus (COVID-19) pandemic, online platforms become even more prominent …
novel coronavirus (COVID-19) pandemic, online platforms become even more prominent …
An IoT based efficient hybrid recommender system for cardiovascular disease
A fog-based IoT model can be helpful for patients from remote areas with cardiovascular
disease. An expert cardiologist is usually not available in such remote areas. There are …
disease. An expert cardiologist is usually not available in such remote areas. There are …