<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/9fc3fcbfe21a46678292465e95401ff6&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/9fc3fcbfe21a46678292465e95401ff6-00001.gif</thumbnail_url><duration>612.366667</duration><title>INQQA: Context Specific Sentiment Analysis in INQQA 📊</title><description>Hey INQQA enthusiasts! In this video, we&apos;re going to dive deeper into the topic of sentiment analysis in INQQA. I&apos;ll show you a specific sentiment analysis task that you can perform using INQQA and reuse the results as a bonus. We&apos;ll be working with a public dataset from Kaggle.com, specifically a product sentiment analysis dataset. I&apos;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&apos;ll learn how to train a custom domain sentiment classifier and perform sentiment analysis on your own data. Let&apos;s get started!</description></oembed>