Ademola Adesokan

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Assistant Professor

University of Central Arkansas

Also affiliated: Meharry Medical College (2023); Missouri University of Science and Technology (2023–2025); American University of Beirut (2021–2023)

4 h-index 20 pubs 49 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Ademola Adesokan's research focuses on the application of natural language processing and machine learning techniques to analyze large volumes of text data, particularly in the context of social media. His recent work has explored the classification and analysis of tweets related to significant global events and social issues. This includes developing models for identifying and categorizing hate speech and offensive content during the COVID-19 pandemic, as well as fine-grained classification of disaster-related tweets to aid response efforts.

Adesokan has also investigated methods for extracting key information from disaster-related texts, such as minimal keyphrases for sub-event identification and the fact-checking of disaster claims. His research extends to classifying user emotions in online content, with studies on classifying emotions in tweets related to the FIFA World Cup and mitigating neutral labels in emotion classification. He has also developed systems for determining the relevance and urgency of information for first responders.

Metrics

h-index: 4
Publications: 20
Citations: 49

Positions

Assistant Professor publications 2025–2026

University of Central Arkansas Institution web page

Selected Publications

EmoCIE: Emotion-Cause Identification with Intensity Estimation (2026)

Lecture notes in computer science DOI OpenAlex
CRISIS: Classification of Response Intent via Social Media for Improved Support (2025)

DOI OpenAlex
Leveraging Pre-Trained Language Models for Realistic Adversarial Attacks (2025)

DOI OpenAlex