Social media has significantly transformed the digital landscape by enabling an unprecedented expansion of content, further accelerated by the COVID-19 pandemic, which increased the demand for online classes, virtual meetings, and recorded conferences. While major technology companies have previously employed sentiment analysis and opinion mining to gauge user feedback, this study proposes a novel framework for emotion-based video content analysis. The proposed method extracts audio from social media videos and applies Speech-to-Text (STT) conversion. The extracted text is then processed using a pre-trained BERT model, leveraging its fine-tuned capabilities and 110 million parameters to enha... More >