Traders in prediction markets must manually monitor huge volumes of social chatter to gauge public opinion, which is time‑consuming and error‑prone. Glypse automates data collection and sentiment scoring to give a quantitative view of market sentiment.
Glypse is a web‑based platform that collects and indexes millions of social media posts to provide quantitative sentiment and emotion signals for prediction‑market assets. It continuously scrapes public posts, extracts textual content, and runs natural‑language models to classify each post into sentiment polarity (negative, neutral, positive) and a set of basic emotions (anticipation, joy, anger, fear, etc.). The resulting time‑series data are stored as numeric data points linked to market subjects such as tokens, companies, or candidates. Users can query the database to view sentiment trends, compare multiple contenders, and identify emerging names or hashtags that are gaining attention before the market odds adjust. The interface visualizes these metrics, allowing traders to spot shifts in public opinion, isolate drivers of negative sentiment, and monitor the most active markets on supported exchanges.
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