video1.0<iframe src="https://www.loom.com/embed/3bd0fad270004b1299afe312d9058812" frameborder="0" width="1680" height="1260" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12601680Loomhttps://www.loom.com12601680https://cdn.loom.com/sessions/thumbnails/3bd0fad270004b1299afe312d9058812-00001.gif506.173In this video, I, Sarthak Arora, will show you the deck I have created to analyze customer complaints using sentiment analysis, also known as natural language processing (NLP). I will cover four sections: data loading/cleaning, gaining insights from company responses, NLP analysis of issue and sub-issue columns, and the insights we have gathered so far. The data summary reveals key statistics, such as the number of records, unique products and companies, and the percentage of closed complaints. Watch this video to understand how we can use sentiment analysis to address customer concerns and improve our company's reputation.