Privacy concerns in social media UGC communities: Understanding user behavior sentiments in complex networks

JR Saura, D Palacios-Marqués… - Information Systems and …, 2023 - Springer
In a digital ecosystem where large amounts of data related to user actions are generated
every day, important concerns have emerged about the collection, management, and …

Exploring clustering techniques for analyzing user engagement patterns in Twitter data

A Kanavos, I Karamitsos, A Mohasseb - Computers, 2023 - mdpi.com
Social media platforms have revolutionized information exchange and socialization in
today's world. Twitter, as one of the prominent platforms, enables users to connect with …

Social media analytics for non-governmental organizations: A case study of Hong Kong Next Generation Arts

S Li, DKW Chiu, E Kafeza, KKW Ho - Handbook of research on …, 2023 - igi-global.com
Social media has provided promotion and communication channels for organizations to
reach their target audience efficiently and cost-effectively. Despite wide social media …

Decoding Gender on Social Networks: An In-depth Analysis of Language in Online Discussions Using Natural Language Processing and Machine Learning

G Vonitsanos, A Kanavos… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In today's digital era, the internet is an indispensable platform for self-expression, facilitating
communication, idea sharing, and community formation. Language, a pivotal tool in these …

Evaluating Methods for Efficient Community Detection in Social Networks

A Kanavos, Y Voutos, F Grivokostopoulou, P Mylonas - Information, 2022 - mdpi.com
Exploring a community is an important aspect of social network analysis because it can be
seen as a crucial way to decompose specific graphs into smaller graphs based on …

Analyzing Consumer Behavior Predictions: A Review of Machine Learning Techniques

N Mathur, S Kumar, T Joshi… - … Conference on Advances …, 2022 - ieeexplore.ieee.org
These days, most models of consumer behaviour are built using machine learning and data
mining techniques applied to actual customer information, and every model is tailored to …

HTwitt: a hadoop-based platform for analysis and visualization of streaming Twitter data

U Demirbaga - Neural Computing and Applications, 2023 - Springer
Twitter produces a massive amount of data due to its popularity that is one of the reasons
underlying big data problems. One of those problems is the classification of tweets due to …

Transformer-based approaches for personality detection using the MBTI model

RL Vásquez, J Ochoa-Luna - 2021 XLVII Latin American …, 2021 - ieeexplore.ieee.org
Personality Detection is a well-known field in Artificial Intelligence. Similar to Sentiment
Analysis, it classifies a text in various labels that denote common patterns according to …

Behavioral and migration analysis of the dynamic customer relationships on Twitter

E Kafeza, C Makris, G Rompolas… - Information Systems …, 2021 - Springer
Relationship management has been of strategic importance for businesses that are
interested to evaluate the state of the relationship with the customer and if possible to …

[PDF][PDF] Modeling Credibility in Social Big Data using LSTM Neural Networks.

A Lyras, S Vernikou, A Kanavos, S Sioutas, P Mylonas - WEBIST, 2021 - scitepress.org
Communication accounts for a vital need among people in order to express and exchange
ideas, emotions, messages, etc. Social media fulfill this necessity as users can make use of …