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Busiyi Fagbamigbe

Busiyi Fagbamigbe

Data Annotation for Cyberbullying Detection Research

UNITED_KINGDOM flag
Waterlooville, United Kingdom
$30.00/hrIntermediateLabel Studio

Key Skills

Software

Label StudioLabel Studio

Top Subject Matter

Cyberbullying Detection in Online Social Networks

Top Data Types

TextText
AudioAudio

Top Task Types

Entity Ner Classification

Freelancer Overview

Data Annotation for Cyberbullying Detection Research. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Master of Science, University of Portsmouth (2025) and Bachelor of Technology, Federal University of Technology, Akure (2023). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification.

IntermediateEnglish

Labeling Experience

Data Annotation for Cyberbullying Detection Research

TextEntity Ner Classification
I conducted annotation and labeling of text data for a cyberbullying detection research paper using large-scale social media datasets. My responsibilities included data collection, preprocessing, and tagging of offensive or harmful behaviors in text using NLP techniques. This work supported the development and validation of machine learning models aimed at automated online behavior detection. • Labeled and annotated text samples from social media for signs of cyberbullying. • Utilized natural language processing methods to classify and categorize harmful content. • Ensured high quality and consistency in data labeling under academic supervision. • Contributed to documentation and evaluation efforts in the research project.

I conducted annotation and labeling of text data for a cyberbullying detection research paper using large-scale social media datasets. My responsibilities included data collection, preprocessing, and tagging of offensive or harmful behaviors in text using NLP techniques. This work supported the development and validation of machine learning models aimed at automated online behavior detection. • Labeled and annotated text samples from social media for signs of cyberbullying. • Utilized natural language processing methods to classify and categorize harmful content. • Ensured high quality and consistency in data labeling under academic supervision. • Contributed to documentation and evaluation efforts in the research project.

2025 - Present

Education

F

Federal University of Technology, Akure

Bachelor of Technology, Applied Geophysics

Bachelor of Technology
2016 - 2023
S

Shalom Christian College

Senior Secondary School Certificate, General Secondary Education

Senior Secondary School Certificate
2012 - 2015

Work History

K

Kreva & Co.

Head of Operations

N/A
2023 - Present
K

Kimapct Development Initiative

Communications Manager

N/A
2024 - 2025