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Consumer Sentiment Classifier: This model is created with the intent of classifying positive, negative, or neutral sentiment in any consumer conversation.

Hate Speech Detection: This model is prepared to identify hate speech towards a specific ethnicity, nationality, religion, sexuality, disability, or class and prevent this kind of malicious intent in the media.

That's why Kimola Cognitive also supports creating custom Machine Learning models by training your own dataset. Create & Store Custom Machine Learning Models: Every research is a different journey to understand humankind, so requirements will usually be unique.Pre-Built Models that Fit Your Business: Kimola Cognitive comes with a gallery of ready-to-use Machine Learning models for the most common use cases like sentiment and hate speech analysis along with consumer conversations around SaaS products, mobile apps, and games.Just drag & drop consumer reviews in excel file and let the magic happen in minutes! Text Analysis with Entity Recognition: Kimola Cognitive offers text analytics to reveal insights that are mentioned in consumer reviews such as organizations, celebrities, interests, work of arts, locations, nutrition, race & ethnicity, diseases.