#AIImpactOnForex Sentiment scoring methodologies in Forex aim to quantify the overall positive or negative leaning of analyzed text data into a usable metric. Various approaches exist, ranging from simple averaging of word-level sentiment scores to more sophisticated techniques. For example, a sentiment index might be created by calculating the percentage of positive sentiment minus the percentage of negative sentiment. Weighted scoring schemes can also be employed, giving more importance to certain words or phrases. Furthermore, some methodologies incorporate contextual information or the strength of sentiment expressed. The resulting sentiment scores can then be visualized through charts or used as direct inputs in trading algorithms, providing a concise representation of the prevailing market mood. The choice of scoring methodology can significantly impact the interpretation and application of sentiment analysis results.