User OCEAN personality model construction method using a BP neural network
Highlights What are the main findings? First, the combination of the methods of machine
learning with psychological methods to predict the user's OCEAN personality model could …
learning with psychological methods to predict the user's OCEAN personality model could …
Exploring the role of personality, trust, and privacy in customer experience performance during voice shopping: Evidence from SEM and fuzzy set qualitative …
Voice shopping is becoming increasingly popular among consumers due to the ubiquitous
presence of artificial intelligence (AI)-based voice assistants in our daily lives. This study …
presence of artificial intelligence (AI)-based voice assistants in our daily lives. This study …
[HTML][HTML] Psychographic traits identification based on political ideology: An author analysis study on spanish politicians' tweets posted in 2020
JA García-Díaz, R Colomo-Palacios… - Future Generation …, 2022 - Elsevier
In general, people are usually more reluctant to follow advice and directions from politicians
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …
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 …
Predicting retweet class using deep learning
AK Kushwaha, AK Kar, PV Ilavarasan - Trends in deep learning …, 2021 - Elsevier
The increasing user base of people using social media platforms to interact and report their
individual opinions on a subject matter is generating a volume of text data that is nonlinear …
individual opinions on a subject matter is generating a volume of text data that is nonlinear …
A multi-model attention based CNN-BiLSTM model for personality traits prediction based on user behavior on social media
S Chaurasia, KK Bharti, A Gupta - Knowledge-Based Systems, 2024 - Elsevier
The prediction of an individual's personality traits through the analysis of their online social
media activities is an area of research that has gained considerable attention in the digital …
media activities is an area of research that has gained considerable attention in the digital …
Detecting malicious behavior in social platforms via hybrid knowledge-and data-driven systems
JN Paredes, GI Simari, MV Martinez… - Future Generation …, 2021 - Elsevier
Among the wide variety of malicious behavior commonly observed in modern social
platforms, one of the most notorious is the diffusion of fake news, given its potential to …
platforms, one of the most notorious is the diffusion of fake news, given its potential to …
Multi-modal cyber-aggression detection with feature optimization by firefly algorithm
Aggressive comments containing offensive images and inappropriate gesture signs together
with textual comments have grown exponentially in the recent past on social media. These …
with textual comments have grown exponentially in the recent past on social media. These …
Arabic Cyberbullying Detection Using Machine Learning: State of the Art Survey
Cyberbullying (CB) is a global dilemma that is growing rapidly to affect more individuals
including minors. The devastating consequences of CB indicate a pressing necessity to …
including minors. The devastating consequences of CB indicate a pressing necessity to …
Predicting tweet impact using a novel evidential reasoning prediction method
This study presents a novel evidential reasoning (ER) prediction model called MAKER-
RIMER to examine how different features embedded in Twitter posts (tweets) can predict the …
RIMER to examine how different features embedded in Twitter posts (tweets) can predict the …