video1.0<iframe src="https://www.loom.com/embed/319826c246c44b2981bc70eeaa6960cd" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/319826c246c44b2981bc70eeaa6960cd-45066085ac2aea67.gif628.1226Hi everyone, in this video, I walk you through my Power BI project on tech brand sentiment analysis, which was part of my AI and analytics research at Bayes University. I analyzed thousands of social media conversations to understand customer feelings towards major technology brands, revealing that we have around 2,600 positive, 500 negative, and over 5,000 neutral sentiments, with an overall sentiment score of 0.25. I showcase various visualizations, including brand comparisons and sentiment distributions, to help companies make informed decisions based on consumer sentiment. I encourage you to interact with the dashboard to explore the insights further and understand how brands can better meet customer needs. Thank you for watching!