AI Text Annotation & Sentiment Analysis Project
TextClassification
Worked on a large-scale AI training project involving text annotation and sentiment classification of customer reviews, product feedback, and social media comments. The primary task was to label data as positive, negative, or neutral while also identifying harmful or policy-violating content for moderation purposes. The project included handling thousands of data points, ensuring high consistency and accuracy across annotations.
I followed detailed annotation guidelines, performed quality checks, and maintained high precision by reviewing edge cases and ambiguous content. The work contributed to improving machine learning models for customer sentiment analysis, recommendation systems, and automated content moderation tools.
Worked on a large-scale AI training project involving text annotation and sentiment classification of customer reviews, product feedback, and social media comments. The primary task was to label data as positive, negative, or neutral while also identifying harmful or policy-violating content for moderation purposes. The project included handling thousands of data points, ensuring high consistency and accuracy across annotations. I followed detailed annotation guidelines, performed quality checks, and maintained high precision by reviewing edge cases and ambiguous content. The work contributed to improving machine learning models for customer sentiment analysis, recommendation systems, and automated content moderation tools.
2024 - 2025