Sentiment Analysis Data Labeling & AI Model Integration
Developed an automated sentiment analysis and monitoring system to classify customer sentiment in real time. Used integrated AI models to categorize text data as positive, negative, or neutral for social media and brand monitoring. Created workflows to automate alerts and actions based on detected negative sentiment. • Labeled and classified incoming text from various social platforms. • Utilized sentiment classification models on real-time text data. • Triggered programmatic responses based on sentiment shifts. • Enabled actionable insights for content management teams.