Spanish Pre-Trained CaTrBETO Model for Sentiment Classification in Twitter

Pijal, Washington; Armijos, Arianna; Llumiquinga, Jose; Lalvay, Sebastián; Allauca, Steven; Cuenca, Erick

doi:10.1109/ici2st57350.2022.00021

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Book1

Other1

Preprint1

Article1

Relationship

Self Cite1

Independent3

Authors

Journals

Cited by 4 publications

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Human Trafficking in Social Networks: A Review of Machine Learning Techniques

Bermeo,

Escobar,

Cuenca

2023

Information and Communication Technologies

View full text Add to dashboard Cite

Human Trafficking in Social Networks: A Review of Machine Learning Techniques

Bermeo,

Escobar,

Cuenca

2023

Information and Communication Technologies

View full text Add to dashboard Cite

A Review of Techniques for Detecting Illicit Messages on Twitter

Román,

Cuenca

2023

2023 IEEE Seventh Ecuador Technical Chapters Meeting (ECTM)

View full text Add to dashboard Cite

Identifying Bot Accounts on Twitter During the 2023 Ecuadorian Presidential Election

Diaz,

Luzuriaga,

Salazar

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

The 2023 Ecuadorian presidential elections, contested between Daniel Noboa and Luisa González, marked a significant event in the nation's democratic journey. Amidst the fervor of campaigns and political debates, the role of social media, particularly Twitter, emerged as a focal point of interest. This study delves into the Twitter activities of both candidates, aiming to discern the potential use of automated actors, commonly known as ''bots", in shaping online narratives and influencing public opinion. By employing state-of-the-art bot detection methodologies, we analyzed the tweet patterns, engagement metrics, and content dissemination strategies associated with the official accounts of the candidates. Our findings shed light on the extent and implications of bot-driven interactions, offering insights into the evolving dynamics of political communication in the digital age. The results underscore the importance of ensuring transparency and authenticity in online electoral campaigns, pivotal for preserving the sanctity of the democratic process.

show abstract

Spanish Pre-Trained CaTrBETO Model for Sentiment Classification in Twitter

Cited by 4 publications

References 29 publications

Human Trafficking in Social Networks: A Review of Machine Learning Techniques

Human Trafficking in Social Networks: A Review of Machine Learning Techniques

A Review of Techniques for Detecting Illicit Messages on Twitter

Identifying Bot Accounts on Twitter During the 2023 Ecuadorian Presidential Election

Contact Info

Product

Resources

About