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The NLU Service has wrong (and very) misinterpreted feelings for some very trivial phrases, following some recent examples of phrases that it returns "0".
• Pelo bom atendimento da Loja e pela qualidade dos carros.
• Carros muito confiáveis, sistema do site disponibilizado para os usuários muito útil para manutenção.
• Demonstrou esforço para atender os prazos do cliente.
• A empresa transmite segurança, confiança e tem compromisso sério com seus clientes.
• atendente prestativo e ágil
Note that the same phrases have a much more assertive behavior in the English language
• For the good care ofstore and for the quality of cars - SCORE 0.88
• Very reliable cars, system of the site made available to users very useful for maintenance. - SCORE 0.89
• Demonstrated effort to meet customer deadlines. - SCORE 0.55
• The company transmits security, trust and has serious commitment to its customers. - SCORE 0.88
• helpful and agile attendant - SCORE 0.97
For testing purposes the phrases were translated using watson's translation api.
You can test on IBM demo page, Classification> Sentiment.
https://www.ibm.com/demos/live/natural-language-understanding/self-service/home
Portuguese statement: "A empresa transmite segurança, confiança e tem compromisso sério com seus clientes"
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