{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9fc3fcbfe21a46678292465e95401ff6\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/9fc3fcbfe21a46678292465e95401ff6-00001.gif","duration":612.366667,"title":"INQQA: Context Specific Sentiment Analysis in INQQA 📊","description":"Hey INQQA enthusiasts! In this video, we're going to dive deeper into the topic of sentiment analysis in INQQA. I'll show you a specific sentiment analysis task that you can perform using INQQA and reuse the results as a bonus. We'll be working with a public dataset from Kaggle.com, specifically a product sentiment analysis dataset. I'll guide you through the steps of uploading the data, creating a new project, and applying sentiment analysis. By the end of this tutorial, you'll learn how to train a custom domain sentiment classifier and perform sentiment analysis on your own data. Let's get started!"}