Identifying hotspots and emerging trends in innovation determinants: A bibliometric analysis in the context of entrepreneurship and resource-based view

S Karray, M Argoubi, M Masmoudi - Management Decision, 2024 - emerald.com
Purpose This study aims to contribute to the understanding of Entrepreneurship and
Resource-Based View (RBV) by investigating the research landscape of Innovation …

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 …

Evaluating the effectiveness of machine learning models for performance forecasting in basketball: a comparative study

G Papageorgiou, V Sarlis, C Tjortjis - Knowledge and Information Systems, 2024 - Springer
Sports analytics (SA) incorporate machine learning (ML) techniques and models for
performance prediction. Researchers have previously evaluated ML models applied on a …

Introducing a novel bi-functional method for exploiting sentiment in complex information networks

P Koukaras, D Rousidis… - International Journal of …, 2021 - inderscienceonline.com
This paper elaborates on multilayer Information Network (IN) modelling, utilising graph
mining and machine learning. Although, Social Media (SM) INs may be modelled as …

[PDF][PDF] Stock Market Prediction Using Microblogging Sentiment Analysis and Machine Learning. Telecom 2022, 3, 358–378

P Koukaras, C Nousi, C Tjortjis - 2022 - academia.edu
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 …