La API te permite analizar y comprender el sentimiento de los datos de texto, ayudándote a determinar si una frase o expresión es neutra, positiva o negativa.

La API tiene un endpoint, "ANALIZADOR DE SENTIMIENTOS," que realiza el análisis de sentimientos en el texto proporcionado.

La respuesta JSON contendrá la siguiente información: "sentiments_detected": Un array de sentimientos detectados con los correspondientes puntajes para negatividad (neg), neutralidad (neu), positividad (pos) y un puntaje compuesto general. "sentiment": La etiqueta de sentimiento general, que en este caso será "positivo." "success": Un valor booleano que indica el éxito del análisis de sentimientos.

La puntuación "compuesta" es una puntuación de sentimiento general que combina las puntuaciones de sentimiento positivo y negativo.

La API actualmente admite analizar una oración o frase a la vez. Si tienes varias oraciones, necesitarías hacer llamadas API separadas para cada una.

El endpoint del Analizador de Sentimientos devuelve un objeto JSON que contiene la clasificación del sentimiento del texto de entrada, junto con un puntaje de confianza que indica la fuerza del sentimiento detectado.

Los campos clave en la respuesta incluyen "sentimiento", que indica el sentimiento general (positivo, negativo o neutral), y "puntuación", que proporciona un nivel de confianza para la clasificación del sentimiento.

Los usuarios pueden personalizar sus solicitudes proporcionando diferentes entradas de texto para análisis. La API no requiere parámetros adicionales para el análisis de sentimientos, lo que la hace fácil de usar.

Los casos de uso típicos incluyen analizar la retroalimentación de los clientes, monitorear el sentimiento en redes sociales, evaluar la reputación de la marca y evaluar la cobertura de noticias para entender la opinión pública.

Los datos de respuesta están organizados en un formato JSON, con pares clave-valor claros que indican el tipo de sentimiento y su correspondiente puntuación de confianza, lo que facilita su análisis y utilización.

El endpoint de Resumen de Texto proporciona una versión condensada del texto de entrada basada en un porcentaje especificado, permitiendo a los usuarios captar rápidamente las ideas principales sin leer todo el contenido.

Los usuarios pueden aprovechar el sentimiento y la puntuación para medir las opiniones de los clientes, informar las estrategias de marketing e identificar áreas de mejora basadas en el tono emocional del texto analizado.

La API emplea técnicas avanzadas de procesamiento de lenguaje natural y modelos de aprendizaje automático que se actualizan y entrenan regularmente en conjuntos de datos diversos para garantizar una alta precisión en la clasificación de sentimientos.

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