El punto final del Analizador de Sentimientos devuelve un análisis detallado del texto de entrada, incluida la clasificación general del sentimiento (positivo, negativo, neutral), un puntaje de confianza, un desglose porcentual de las categorías de sentimiento, palabras clave emocionales, emociones básicas y subjetividad.

Los campos clave en la respuesta incluyen "sentimiento" (sentimiento dominante), "confianza" (cierta de la clasificación), "desglose" (porcentaje de positividad, negatividad, neutralidad), "palabras clave" (palabras clave emocionales), "emociones" (emociones básicas detectadas) y "subjetividad" (opinión vs. objetiva).

Los datos de respuesta están estructurados en un formato JSON, con campos de nivel superior para los resultados del análisis de sentimiento. Cada campo proporciona información específica, como la clasificación de sentimiento, los niveles de confianza y desgloses detallados, lo que facilita su análisis y utilización de manera programática.

El parámetro principal para el endpoint del Analizador de Sentimientos es "texto," que requiere la cadena de entrada que se va a analizar. Los usuarios pueden personalizar sus solicitudes proporcionando diferentes entradas de texto para recibir resultados de análisis de sentimientos a medida.

Los casos de uso típicos incluyen monitorear la retroalimentación de los clientes, optimizar el contenido de marketing, analizar las interacciones en redes sociales, realizar análisis de sentimiento en encuestas y mejorar la experiencia del usuario en chatbots o asistentes virtuales.

La precisión de los datos se mantiene a través de algoritmos avanzados de procesamiento de lenguaje natural que aprenden continuamente de diversas muestras de texto. Las actualizaciones regulares y los controles de calidad aseguran que el modelo se adapte a las sutilezas del lenguaje y a las expresiones de sentimiento en evolución.

Los usuarios pueden aprovechar los datos devueltos para identificar tendencias en el sentimiento del cliente, adaptar las estrategias de marketing basadas en insights emocionales y mejorar el desarrollo de productos al comprender las opiniones y emociones de los usuarios reflejadas en el texto.

Si el texto de entrada es demasiado corto o ambiguo, la API puede devolver puntuaciones de confianza más bajas o análisis incompletos. Los usuarios deben asegurarse de que el texto sea lo suficientemente descriptivo y considerar implementar mecanismos de respaldo para manejar tales casos.

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To give you the opportunity to experience our APIs without any commitment, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost. This trial can be used only once, so we recommend applying it to the API that interests you the most. While most of our APIs offer a free trial, some may not. The trial concludes after 7 days or once you've made 50 requests, whichever occurs first. If you reach the 50 request limit during the trial, you will need to "Start Your Paid Plan" to continue making requests. You can find the "Start Your Paid Plan" button in your profile under Subscription -> Choose the API you are subscribed to -> Pricing tab. Alternatively, if you don't cancel your subscription before the 7th day, your free trial will end, and your plan will automatically be billed, granting you access to all the API calls specified in your plan. Please keep this in mind to avoid unwanted charges.

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