Para utilizar esta API, el usuario debe indicar dos textos para analizar la similitud.

Hay diferentes planes que se adaptan a todos, incluyendo una prueba gratuita para un pequeño número de solicitudes, pero su tasa está limitada para prevenir el abuso del servicio.

Zyla ofrece una amplia gama de métodos de integración para casi todos los lenguajes de programación. Puedes usar estos códigos para integrarlos en tu proyecto según lo necesites.

La API de Cálculo de Similitud de Textos es una herramienta avanzada de procesamiento de lenguaje natural (NLP) diseñada para medir y cuantificar la correlación entre diferentes fragmentos de texto.

El endpoint de Similaridad devuelve un objeto JSON que contiene el puntaje de similitud entre los dos textos de entrada, un valor numérico que representa la correlación, y metadatos como la versión de la API y la información del autor.

Los campos clave en la respuesta incluyen "similarity" (el puntaje de similitud), "value" (una representación numérica de la correlación), "version" (versión de la API), "author" (el proveedor de la API), y "result_code" y "result_msg" (estado de la solicitud).

El endpoint de Similaridad requiere dos parámetros: el primer texto y el segundo texto a comparar. Los usuarios deben proporcionar estos textos en la solicitud para recibir un análisis de similitud.

Los datos de respuesta están organizados en un formato JSON, con pares clave-valor que delinean claramente la puntuación de similitud, el valor de correlación y los metadatos, lo que facilita su análisis y uso en aplicaciones.

El endpoint de Similaridad proporciona información sobre el grado de similitud entre dos textos, que se puede utilizar para aplicaciones como la recomendación de contenido, la detección de plagio y la comparación de documentos.

Los usuarios pueden utilizar el puntaje de similitud devuelto para evaluar cuán relacionados están dos textos, lo que permite funciones como la agrupación de contenido, la mejora de los resultados de búsqueda o la identificación de posibles plagios en los trabajos presentados.

La precisión de los datos se mantiene a través de avanzados algoritmos de PLN que analizan el significado semántico y el contexto, asegurando que las medidas de similitud reflejen relaciones textuales verdaderas en lugar de meras coincidencias léxicas.

Los casos de uso típicos incluyen mejorar los sistemas de recomendación de contenido, detectar plagio en las entregas educativas, mejorar los resultados de los motores de búsqueda y categorizar los tickets de soporte al cliente según la similitud de las consultas.

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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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