Abstract:
This paper tackles the challenge of predicting stock market trends by integrating sentiment analysis with Long Short-Term Memory (LSTM) networks. Traditional methods, relying on historical price data, often overlook the immediate impact of market sentiment on stock movements. To address this, the author incorporate real-time sentiment data from sources such as social media and financial news, using advanced natural language processing techniques to extract actionable sentiment indicators.
