{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1907e98e90ac460695dcc86a04750f12\" 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/1907e98e90ac460695dcc86a04750f12-00001.gif","duration":519.5,"title":"INQQA: Adding Filters to Your Data using Sentiment Analysis as an example (Export Feature)","description":"In this video, I will showcase an expert feature in INQQA, which is adding filters to your data. I will address common questions about sentiment analysis and INQQA, and explain how INQQA can help professionals with text coding effortlessly. Using online reviews as an example, I will demonstrate the applications of INQQA in text analysis tasks. I will also discuss the importance of considering your business case when deciding whether to use sentiment analysis. Throughout the video, I will provide insights and tips for effectively utilizing sentiment analysis in INQQA."}