{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7d130500e8a04b4f8535ea0015e92389\" 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/7d130500e8a04b4f8535ea0015e92389-fc7e6e2d600eff5e.gif","duration":33.418,"title":"Automating Client Responses with Text Classification 🤖","description":"In this video, I walk you through my workflow for processing email replies that come in through a webhook. I explain how I match these replies to the corresponding clients and utilize a text classifier to analyze the content. The classifier has provided some interesting outputs that I want to discuss further. Please take a look at the results and let me know your thoughts on how we can improve this process. Your feedback will be invaluable as we refine our approach."}