Social Sentiment Tagging
Labeled 300+ social media text posts to identify sentiment (positive, negative, neutral) and flagged any inappropriate language or policy violations. Ensured quality by cross-checking outputs for tone, relevance, and accuracy. Practiced categorizing content for training conversational AI systems. Work simulated real-world projects commonly assigned on platforms like Appen and Remotasks.