Sentiment Analysis of Social Media

This paper presents an end-to-end sentiment analysis system designed to monitor user-generated content onsocial media platforms like Twitter (X) and Instagram. Leveraging transformer-based models and a modularPython framework, the system performs real-time sentiment classification, hashtag trend detection, andengagement analytics. The processed data is visualized via dynamic dashboards using Power BI. This multiplatform pipeline helps researchers and marketers understand public opinion shifts and optimize decisionmaking strategies based on user sentiment.