Samson Oyekpen

Key Skills

Software

Lionbridge

Other

Top Subject Matter

Literary analysis and NLP

Victorian literature

Digital Humanities

Top Data Types

Text

Top Task Types

Entity Ner Classification

Emotion Recognition

Freelancer Overview

AI Training Contributor (Linguistic Models). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Lionbridge and Other. Education includes Master of Arts, King's College London (2023) and Bachelor of Arts, University of Edinburgh (2021). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification and Emotion Recognition.

Labeling Experience

AI Training Contributor (Linguistic Models)

LionbridgeTextEntity Ner Classification

Labeled and annotated complex literary datasets to train natural language processing (NLP) models for improved sentiment tagging and grammatical accuracy. Worked on refining AI-generated summaries by providing detailed feedback to enhance readability and correctness. Contributed to developing and iterating AI-based grammar correction tools for literary content. • Applied linguistic expertise to annotate text data with relevant entities and sentiments. • Utilized Lionbridge and similar AI platforms for efficient data labeling workflows. • Monitored and documented labeling progress to ensure rigorous quality standards. • Collaborated with teams to iterate on annotation guidelines.

Labeled and annotated complex literary datasets to train natural language processing (NLP) models for improved sentiment tagging and grammatical accuracy. Worked on refining AI-generated summaries by providing detailed feedback to enhance readability and correctness. Contributed to developing and iterating AI-based grammar correction tools for literary content. • Applied linguistic expertise to annotate text data with relevant entities and sentiments. • Utilized Lionbridge and similar AI platforms for efficient data labeling workflows. • Monitored and documented labeling progress to ensure rigorous quality standards. • Collaborated with teams to iterate on annotation guidelines.

2023 - Present

Research Assistant (Digital Humanities Project)

OtherTextEmotion Recognition

Assisted in developing and training an AI-based sentiment analysis tool focused on Victorian literature. Conducted textual analysis and annotated text for emotional trends and genre identification. Participated in publishing findings on machine learning applications in literary sentiment analysis. • Labeled text data for sentiment and emotional attributes using computational tools. • Trained models for improved genre identification utilizing literary datasets. • Engaged in iterative improvements based on annotation results and analysis. • Worked with academic and digital humanities teams for rigorous evaluation.

Assisted in developing and training an AI-based sentiment analysis tool focused on Victorian literature. Conducted textual analysis and annotated text for emotional trends and genre identification. Participated in publishing findings on machine learning applications in literary sentiment analysis. • Labeled text data for sentiment and emotional attributes using computational tools. • Trained models for improved genre identification utilizing literary datasets. • Engaged in iterative improvements based on annotation results and analysis. • Worked with academic and digital humanities teams for rigorous evaluation.

2022 - 2023

Education

Work History