La API acepta entradas de texto sin formato en formato UTF-8. Se pueden procesar tanto frases cortas como párrafos largos, lo que permite un uso flexible en diversas aplicaciones.

La API utiliza modelos avanzados de PLN para embedding textos en vectores de 768 dimensiones y luego calcula la similitud coseno entre estos vectores para producir una puntuación de similitud que varía de -1 a 1, donde 1 indica textos idénticos.

La API utiliza modelos basados en transformadores de última generación, como BERT o sus variantes, para incrustar textos. Estos modelos están preentrenados en grandes corpus y ajustados para lograr una alta precisión en la captura del significado semántico.

La API está optimizada para baja latencia, respondiendo típicamente en unos pocos cientos de milisegundos para solicitudes estándar. El rendimiento puede variar según la longitud y complejidad de los textos de entrada.

Sí, la API admite múltiples idiomas, siempre que el modelo de incrustación subyacente haya sido entrenado con datos multilingües. Esto permite cálculos de similitud precisos en diferentes idiomas.

El endpoint Comprobar Similitud devuelve un objeto JSON que contiene una única clave, "similaridad", que representa la puntuación de similitud entre los dos textos de entrada. La puntuación varía de 0 a 1, donde 1 indica textos idénticos y 0 indica ninguna similitud.

Los datos de respuesta incluyen el campo "similitud", que es un número de punto flotante. Esta puntuación cuantifica el grado de similitud entre las dos cadenas de texto proporcionadas.

Los usuarios pueden personalizar sus solicitudes proporcionando dos cadenas de texto como parámetros, `text_1` y `text_2`, cada una con una longitud máxima de 5000 caracteres. Esto permite comparaciones flexibles según las necesidades del usuario.

Los datos de respuesta están estructurados en formato JSON, con un único par clave-valor. La clave es "similarity" y el valor es la puntuación de similitud calculada, lo que facilita su análisis y uso en aplicaciones.

Los casos de uso típicos incluyen la detección de plagio en entornos educativos, la recomendación de contenido en el comercio electrónico, la mejora de los chatbots de atención al cliente y la mejora de los resultados del motor de búsqueda a través de una mejor clasificación de relevancia.

La precisión de los datos se mantiene mediante el uso de modelos de PLN avanzados que están preentrenados en conjuntos de datos extensos. Actualizaciones continuas y ajustes finos aseguran que los modelos sigan siendo efectivos para capturar similitudes textuales.

Si uno o ambos textos de entrada están vacíos, es probable que la API devuelva un puntaje de similitud de 0, lo que indica que no hay similitud. Los usuarios deben asegurarse de proporcionar ambos textos de entrada para comparaciones significativas.

Los patrones de datos estándar incluyen puntuaciones cercanas a 1 para textos altamente similares, puntuaciones alrededor de 0.5 para textos moderadamente similares y puntuaciones cercanas a 0 para textos disimilares. Este patrón ayuda a los usuarios a evaluar de manera efectiva el grado de similitud.

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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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