Text Categorization & Sentiment Labeling
TextClassification
Worked on a natural language processing (NLP) project for a major tech company, categorizing short-form text data and labeling sentiment to improve search and recommendation algorithms.
Reviewed and categorized 5,000+ text samples across topics including news, product reviews, and social media posts
Labeled sentiment as positive, negative, or neutral with contextual sub-tags for intensity and sarcasm detection
Followed detailed annotation guidelines and passed weekly quality audits with a consistency rate above 96%
Worked on a natural language processing (NLP) project for a major tech company, categorizing short-form text data and labeling sentiment to improve search and recommendation algorithms. Reviewed and categorized 5,000+ text samples across topics including news, product reviews, and social media posts Labeled sentiment as positive, negative, or neutral with contextual sub-tags for intensity and sarcasm detection Followed detailed annotation guidelines and passed weekly quality audits with a consistency rate above 96%
2025 - 2026