Polykoe's sentiment analysis pipeline processes raw social data through multiple stages:
Data Collection: Real-time ingestion of comments, tweets, and discussions
Natural Language Processing: Advanced NLP models extract sentiment from context
Entity Recognition: Identifies which outcome each comment references
Credibility Weighting: Scores contributions based on account history and accuracy
Aggregation: Combines individual signals into outcome-level sentiment scores
Normalization: Scales scores to consistent 0-100 range for comparison
Last updated 1 month ago
