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How does AI weigh psychological data like social media sentiment in sports betting?

AI uses natural language processing (NLP) to scan platforms like Twitter, Reddit, and even post-game interviews. It assigns sentiment scores — positive, negative, or neutral — to public and player commentary. It’s especially useful for detecting things like locker room tension, morale dips, or fan pressure before big games.

AI uses natural language processing (NLP) to scan sources like Twitter, Reddit, and post-game interviews to gauge the emotional tone of what's being said. It assigns sentiment scores — positive, negative, or neutral — to posts and comments from fans, players, and media. This is super useful for picking up on things like locker room tension, drops in team morale, or even external pressure from fans before a big game. It’s not something traditional stats can capture, but it can have a huge impact on performance, and AI’s https://gisuser.com/2025/04/the-impact-of-ai-driven-prediction-models-in-sports-betting/  great at catching it early.