#AIImpactOnForex Analyzing Market Sentiment via Social Media Data Analyzing market sentiment through social media data involves extracting and interpreting public opinions to gauge investor behavior and predict market trends. Platforms like Twitter, Reddit, and financial forums are rich sources of real-time data. Techniques such as natural language processing (NLP), sentiment analysis, and machine learning are used to classify posts as positive, negative, or neutral. This analysis helps identify emerging trends, assess public reaction to news, and enhance trading strategies. While powerful, it also faces challenges like noise in data, sarcasm detection, and manipulation risks.