#CurrencyPairPrediction Sentiment Analysis Key application in finance. Goal: Decide if the news is Positive, Negative, or Neutral for a stock/market. Methods: • Lexicon-Based: Use predefined dictionaries (e.g., Loughran-McDonald Finance Sentiment Dictionary) • Machine Learning-Based: Train classifiers (SVMs, XGBoost) on labeled financial news • Deep Learning-Based: Use transformers like FinBERT, trained specifically on financial text. Example Output: News: “Amazon’s revenue beats Wall Street estimates.” Sentiment: Positive