{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b00b2422a1d94602acd67d4fda8e6115\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b00b2422a1d94602acd67d4fda8e6115-00001.gif","duration":1603.543999999994,"title":"Classification of Recipe Review Texts According to Problems Identified by Review","description":"In this video, I present my capstone project for Data 698 at CUNY SPS. I discuss the classification of recipe review texts based on the problems identified by reviewers. I explain the methodology used, including unsupervised and supervised learning techniques. I also highlight the challenges faced and the results achieved. Watch this video to learn more about how we analyzed recipe reviews and predicted the problems they identified."}