Franco Fungo

Key Skills

Software

Labelbox

Label Studio

Top Subject Matter

Swahili Sentiment Analysis

Linguistic Data

User Feedback

Top Data Types

Text

Document

Top Task Types

Classification

Polyline

Point Key Point

Freelancer Overview

Project Lead, Swahili Sentiment Data Annotation. Core strengths include Labelbox. AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

AI Data Trainer

LabelboxTextClassification

For the Swahili Sentiment Analysis Dataset project, I led the curation and detailed annotation of a large-scale Swahili text corpus. I developed specialized annotation guidelines to accurately capture sentiment, linguistic nuance, and cultural context. The resulting dataset was instrumental in improving the sentiment classification accuracy for Swahili-language machine learning models. • Led annotation efforts focused on emotion and sentiment recognition within Swahili text data. • Authored comprehensive guidelines to standardize team annotation practices. • Significantly enhanced AI model understanding of Swahili-language user feedback. • Used Labelbox and Prodigy for all data annotation and curation activities.

For the Swahili Sentiment Analysis Dataset project, I led the curation and detailed annotation of a large-scale Swahili text corpus. I developed specialized annotation guidelines to accurately capture sentiment, linguistic nuance, and cultural context. The resulting dataset was instrumental in improving the sentiment classification accuracy for Swahili-language machine learning models. • Led annotation efforts focused on emotion and sentiment recognition within Swahili text data. • Authored comprehensive guidelines to standardize team annotation practices. • Significantly enhanced AI model understanding of Swahili-language user feedback. • Used Labelbox and Prodigy for all data annotation and curation activities.

2025 - 2025

Swahili Sentiment Analysis Dataset Annotator

ProdigyTextClassification

I led the curation and annotation of a Swahili text dataset for a sentiment analysis model. Detailed guidelines were developed to capture linguistic nuances and cultural context. The resulting dataset improved accuracy in classifying sentiment in Swahili-language user feedback. • Authored annotation instructions with focus on Swahili idioms and expressions. • Implemented rigorous data quality control processes. • Ensured comprehensive sentiment coverage across diverse feedback samples. • Optimized the dataset to address cultural and contextual factors.

I led the curation and annotation of a Swahili text dataset for a sentiment analysis model. Detailed guidelines were developed to capture linguistic nuances and cultural context. The resulting dataset improved accuracy in classifying sentiment in Swahili-language user feedback. • Authored annotation instructions with focus on Swahili idioms and expressions. • Implemented rigorous data quality control processes. • Ensured comprehensive sentiment coverage across diverse feedback samples. • Optimized the dataset to address cultural and contextual factors.

Not specified

Education

Work History