Public Mood–Based Stock Movement Analysis
Performed public mood and stock movement analysis by combining sentiment signals with time-series modeling. Applied sentiment scoring procedures using Python and SQL to quantify mood-related inputs. Produced visualization dashboards in Power BI to assess sentiment trends and market volatility relationships.• Conducted sentiment analysis and scoring using Python and SQL.• Modeled temporal trends using time-series methods.• Evaluated relationships between sentiment-derived mood and stock movement behavior.• Built Power BI dashboards showing sentiment and volatility trends.