Multi-modal aggression identification using convolutional neural network and binary particle swarm optimization
Aggressive posts containing symbolic and offencive images, inappropriate gestures along
with provocative textual comments are growing exponentially in social media with the …
with provocative textual comments are growing exponentially in social media with the …
Evaluation of the COVID-19 regulations in the Visegrad group
Purpose The purpose of this paper is to analyse the legal and political background of COVID-
19 related measures introduced during the first wave of the pandemic in the Visegrad Group …
19 related measures introduced during the first wave of the pandemic in the Visegrad Group …
Big data research for politics: human centric big data research for policy making, politics, governance and democracy
Big data research for politics: human centric big data research for policy making, politics,
governance and democracy | Journal of Ambient Intelligence and Humanized Computing Skip to …
governance and democracy | Journal of Ambient Intelligence and Humanized Computing Skip to …
How artificial intelligence can be used for behavioral identification?
YBW Piugie, J Di Manno… - … on Cyberworlds (CW …, 2021 - ieeexplore.ieee.org
Nowadays, users interact with computer systems. Behavioral biometrics consists of
analyzing user's interactions for identification and verification applications. This approach …
analyzing user's interactions for identification and verification applications. This approach …
Detecting evolutionary stages of events on social media: A graph-kernel-based approach
Detecting the evolutionary stages of social media events such as Twitter and Sina Weibo is
beneficial for enterprises and governments to take necessary actions before emergent …
beneficial for enterprises and governments to take necessary actions before emergent …
Investigation of university students' behaviour in a Heterarchical twitter community
M Yoshida - Education and Information Technologies, 2021 - Springer
We conducted an investigational study of the formulation of the heterarchical online
knowledge-based community among university students, which also involved users outside …
knowledge-based community among university students, which also involved users outside …
Social mining for terroristic behavior detection through Arabic tweets characterization
In the latest years, the use of social media has increased dramatically. Content, as well as
media, are shared in Big Data volumes and this poses a critical requirement for the behavior …
media, are shared in Big Data volumes and this poses a critical requirement for the behavior …
Text analysis methods for misinformation–related research on Finnish language twitter
The dissemination of disinformation and fabricated content on social media is growing. Yet
little is known of what the functional Twitter data analysis methods are for languages (such …
little is known of what the functional Twitter data analysis methods are for languages (such …
[Retracted] Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining
W Ben Abdessalem Karaa… - Journal of …, 2021 - Wiley Online Library
The paper presents a recommendation model for developing new smart city and smart
health projects. The objective is to provide recommendations to citizens about smart city and …
health projects. The objective is to provide recommendations to citizens about smart city and …
Exploration of social media opinions on innovation for sustainable development goals by topic modeling and sentiment analysis
This research utilizes social knowledge extracted from user-generated content from Twitter
to identify the social media users' concerns on different domains of innovation regarding …
to identify the social media users' concerns on different domains of innovation regarding …