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This model is created with the intent of classifying positive or negative sentiment in any consumer conversation.

This model is created specifically for the E-Commerce Industry. The model has 4 main categories and helps marketing professionals to understand online shopping consumers better.

This model was created specifically to analyze Online Course User comments on educational course platforms such as Udemy, Coursera etc. The model helps to understand online trainees into 4 main categories.

This model is created to categorize the positive or negative sentiment of any book reader's evaluation of that book.

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.

This model is created specifically for the Mobile Gaming Industry. The model has 4 main categories and helps marketing professionals to understand mobile gamer better.

This model is created specifically for the Saas Products. The model has 4 main categories and helps marketing professionals to understand saas product consumers better.

This model is created specifically for the Horeca Industry. The model has 4 main categories and helps marketing professionals to understand hotel-restaurant-cafe consumers better.

This model is created specifically for the Mobile App Industry. The model has 4 main categories and helps app developers to understand mobile app users better.

This model is created with the intent of classifying consumer conversation around a product, service or a brand in general.

This model is created specifically for the Banking Industry. The model has 5 main categories and helps marketing professionals to understand banking consumers better.

This model is created specifically for the Automotive Industry. The model has 5 main categories and helps marketing professionals to understand automotive consumers better.

This model is created specifically for the Mobile Network Operators. The model has 5 main categories and helps marketing professionals to understand telco consumers better.

This model is created specifically for the Health Industry. It helps researchers to label texts by the source. The sources are considered as “patient” and “caregiver” as source-based research in Health is very important to understand the motivations and problems of patients and caregivers separately.

This model classifies any text content in terms of news categories to categorize news articles or classify consumer conversations.