A review on sentiment analysis from social media platforms
242 Citations•2023•
Margarita Rodríguez-Ibáñez, Antonio Casánez-Ventura, Félix Castejón-Mateos
This paper proposes a comprehensive review of the existing methods for sentiment analysis in social networks from an academic perspective, and explores their applications in different contexts such as stock market value, politics, and cyberbullying in educational centers.
Abstract
This work is partly supported by research grants miHeart RisBi (PID2019-104356RB-C42), miHeart-DaBa (PID2019104356RB-C43), BigTheory (PID2019-106623RB-C41), from Agencia Estatal de Investigacion of Science and In-́ novation Ministry and cofunded by FEDER funding. It is also partially supported by REACT EU grants from the Community of Madrid and Rey Juan Carlos University funded by the Next Generation EU.