Automatically classify interview scripts or social media conversations in any size of qualitative research.
Automate the classifying process of qualitative consumer research done with interview scripts or social media conversations.
Classify only one time for each research topic manually. Then you can drag and drop your files to be classified row by row automatically.
Keep your auto-classified research files in one place—no more losing time to look for files in emails or on your computer.
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Kimola Cognitive provides a robust content classification technology to use in any size of qualitative consumer research. It enables marketers and researchers to apply Machine Learning techniques without coding so they can save time and focus on their area of expertise.Learn More
Kimola Cognitive comes with a set of ready-to-use Machine Learning models for the most common use cases like sentiment, emotion, complaint, and hate speech analyses. You can choose a model then drag-and-drop your file with interview scripts or social media conversations to classify automatically.Visit Gallery
Every consumer research is a different journey to understand humankind, so most of the time, requirements can bu unique. That's why you can also create your custom Machine Learning model by uploading a labeled file to teach your classification needs. Then Kimola Cognitive takes care of hosting and serving your Machine Learning model.Read Documents
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