Consumer Sentiment Classifier

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

See it in Action!

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Labels

Positive: A positive label indicates that consumers express their happiness, satisfaction, trust or gratitude.
Negative: A negative label indicates conversations that consumers express their dissatisfaction, rage, disappointment or simply sadness.
Neutral: Neutral label indicates conversations that do not contain a powerful emotion.

Languages

English , Portuguese , French , Turkish

Description

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.

Use Dashboard or Connect to API

We offer super-clean API documentation with code samples to connect any application with Kimola Cognitive.

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Designed for marketing and research professionals. No programming skills are required.

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