The emergence of social media data and sentiment analysis in election prediction
This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …
network approaches to predict crucial decisions from online social media platforms. The …
Data mining algorithms for smart cities: A bibliometric analysis
A Kousis, C Tjortjis - Algorithms, 2021 - mdpi.com
Smart cities connect people and places using innovative technologies such as Data Mining
(DM), Machine Learning (ML), big data, and the Internet of Things (IoT). This paper presents …
(DM), Machine Learning (ML), big data, and the Internet of Things (IoT). This paper presents …
A confirmation bias view on social media induced polarisation during Covid-19
Social media has played a pivotal role in polarising views on politics, climate change, and
more recently, the Covid-19 pandemic. Social media induced polarisation (SMIP) poses …
more recently, the Covid-19 pandemic. Social media induced polarisation (SMIP) poses …
Stock market prediction using microblogging sentiment analysis and machine learning
P Koukaras, C Nousi, C Tjortjis - Telecom, 2022 - mdpi.com
The use of Machine Learning (ML) and Sentiment Analysis (SA) on data from microblogging
sites has become a popular method for stock market prediction. In this work, we developed a …
sites has become a popular method for stock market prediction. In this work, we developed a …
The application of the principles of responsible AI on social media marketing for digital health
Social media enables medical professionals and authorities to share, disseminate, monitor,
and manage health-related information digitally through online communities such as Twitter …
and manage health-related information digitally through online communities such as Twitter …
Exploring the drivers of customers' brand attitudes of online travel agency services: A text-mining based approach
This paper aims to explore the important qualitative aspects of online user-generated-
content that reflects customers' brand-attitudes. Additionally, the qualitative aspects can help …
content that reflects customers' brand-attitudes. Additionally, the qualitative aspects can help …
A systematic literature review of how and whether social media data can complement traditional survey data to study public opinion
In this article, we review existing research on the complementarity of social media data and
survey data for the study of public opinion. We start by situating our review in the extensive …
survey data for the study of public opinion. We start by situating our review in the extensive …
[HTML][HTML] Judgmental adjustment of demand forecasting models using social media data and sentiment analysis within industry 5.0 ecosystems
Y Badulescu, F Cañas, N Cheikhrouhou - International journal of …, 2024 - Elsevier
Industry 5.0 ecosystems focus on a human-centric approach to operations and supply chain
management by integrating stakeholders, advanced technologies, and processes. While …
management by integrating stakeholders, advanced technologies, and processes. While …
Popularity prediction of instagram posts
Predicting the popularity of posts on social networks has taken on significant importance in
recent years, and several social media management tools now offer solutions to improve …
recent years, and several social media management tools now offer solutions to improve …
Innovation and challenges of blockchain in banking: a scientometric view
R Arjun, KR Suprabha - IJIMAI, 2020 - dialnet.unirioja.es
Blockchain has been gaining focus in research and development for diverse industries in
recent years. Nevertheless, innovations that impact to the banking nurture a potential for …
recent years. Nevertheless, innovations that impact to the banking nurture a potential for …