{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/ecd93c824f1a4d74bce024b8843ed6bb\" frameborder=\"0\" width=\"1662\" height=\"1246\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1246,"width":1662,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1246,"thumbnail_width":1662,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/ecd93c824f1a4d74bce024b8843ed6bb-68eac14f11f9f806.gif","duration":300.21,"title":"Exploring the Impact of Clickbait Headlines and Neural Network Performance","description":"In this video, I discuss my summer project focused on analyzing clickbait headlines, particularly those prevalent in African media. I explored various neural network models, including a base tier network that achieved 96% accuracy and a dropout model that reached 94% accuracy. I also experimented with different learning rates and regularization techniques to optimize performance. I encourage viewers to consider the impact of sensationalized titles on content consumption and to share their thoughts on the effectiveness of such headlines. Thank you for your attention, and I look forward to your feedback."}