This model is created with the intent of classifying positive, negative or neutral sentiment in any consumer conversation.
See it in Action!
: A positive label indicates that consumers express their happiness, satisfaction, trust or gratitude.
: A negative label indicates conversations that consumers express their dissatisfaction, rage, disappointment or simply sadness.
: Neutral label indicates conversations that do not contain a powerful emotion.
English ,Portuguese ,French ,Turkish
Nowadays, most people in the marketing and research world are familiar with social media monitoring, brand monitoring, the voice of the customer, customer service, and market research. With all these terms, sentiment analysis shines and becomes a game-changer that provides an essential insight into consumers' thoughts and feelings. This model enables you to get more meaningful analysis by classifying your data as "positive", "negative", or "neutral". It means less manual work for marketing professionals and more time to take action.
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