A: Hi, thanks for the question! Such a great community here ✨

Kimola Cognitive is designed to analyze all kinds of text-based data. Kimola Cognitive has a term-extraction technology based word-cloud feature (it can be found on the reports page.) It's not just a simple word cloud but the system creates the word cloud and generates a filter from the popular topics to view content.

Yes, you can do sentiment analysis with your text data. There is not only a ready-to-use, pre-built sentiment ML model but also many other models in our gallery (kimola.com/cognitive/gallery) that you can just drag and drop your text data and start the analysis in 3 minutes. You can use these sector specific (Horeca, SaaS, App Review Models) and general models (Sentiment, Hate Speech Detection and News Classification, etc.) to analyze your data too. See how to do it on this article: https://kimola.com/support/cognitive/using-kimola-cognitive-gallery-and-pre-built-ml-models

You can train your custom ML model with your labeled data with a simple drag & drop. For further more, you can read this article: https://kimola.com/support/cognitive/how-to-create-a-custom-machine-learning-model

Unfortunately, Kimola Cognitive only supports XLSX, XLS, TSY, and CSV file formats.