{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/a6ed1e760a5e40ffa0b6f0e1b97f2899\" frameborder=\"0\" width=\"1110\" height=\"832\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":832,"width":1110,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":832,"thumbnail_width":1110,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/a6ed1e760a5e40ffa0b6f0e1b97f2899-b5a5aee9f5a27782.gif","duration":82.5387,"title":"Building a Sentiment Classifier with Machine Learning","description":"In this video, I walk you through our new sentiment classification project using a machine learning model. We utilize the IMDB dataset for training, and I demonstrate how to start the training process, which yields an impressive accuracy of 85%. After training, I show you how to classify a sample text, like \"I love this movie,\" and get the predicted label. I encourage you to explore this tool and try it out with your own text inputs. Let's leverage this technology to enhance our projects!"}