Acerca de la API:
Esta API tiene la capacidad de detectar más de 149 modelos semánticos dedicados a albergues, hoteles y B&Bs. Esta es la API más completa para el análisis de reseñas.
Esta API recibirá la reseña que su cliente dé y entregará todos los modelos semánticos que se reconozcan y si son reseñas buenas o malas.
Monitorear sus reseñas: Poder detectar si sus clientes están satisfechos o no con su estadía. Reconocer qué es lo mejor para ellos y qué es lo peor.
Crear informes basados en segmentos: Comience a crear sus propios informes y comience a medir cuáles son las cosas que sus clientes disfrutan más en su lugar y qué piensan que podría mejorarse.
Tener un mejor acercamiento a sus clientes: Después de haber detectado qué les gusta a sus usuarios de su lugar, podría crear contenido que destaque esos complementos o experiencias que sabe que ofrece como nadie más.
Aparte del número de llamadas a la API por mes:
Este punto final devuelve todos los resultados en una salida: sentimiento general, aspectos, categorías, análisis semántico y un resumen semántico.
Ejecutar análisis. - Características del Endpoint
Objeto | Descripción |
---|---|
text |
[Requerido] The review text you want to analyze |
title |
Opcional The title of your review. Optional. |
{"general_sentiment":2,"categories":{"0":{"name":"hotel","count":1,"sentiment_score":2}},"aspects":{"0":{"name":"opinion","count":1,"sentiment_score":2}},"semantic_analysis":{"0":{"id_semantic_model":226,"name_semantic_model":"overall_good_satisfied","description":"The customer was satisfied in general, good overall, nice stay, good experience, good place, enjoyable experience, everything we needed, met my expectations, hotel was great","id_opposite_semantic_model":228,"category":"hotel","aspect":"opinion","feature":"overall good, satisfied","polarity":2,"segment":"Excellent Choice"}},"semantic_summary":{"0":"The customer was satisfied in general"}}
curl --location --request POST 'https://zylalabs.com/api/316/sentiment+analyzer+for+hotel+reviews+api/257/run+analysis?text=Everything was great during our stay. We ordered a queen size room on the second floor. The room that we stayed in was clean and spacious. It has everything in the room that we need, also well equipped kitchen, coffee maker and so on. Bathroom was clean, lots of space and clean towels. wifi was free and works fine. room was very clean and cleaned on daily basis. Breakfast was a little bit small, but very tasty. Also, the spa was included, thats great. The activities that the hotel proposed were also great. It was also close to the beach, also not far from the restaurants and shopping. Hotel was also nice and renovated, staff desk was very friendly and helpful. Overall this place was excellent and exceeded my expectations. Recommend this place to everyone, we will definitely come back.&title=Excellent Choice' --header 'Authorization: Bearer YOUR_API_KEY'
Encabezado | Descripción |
---|---|
Autorización
|
[Requerido] Debería ser Bearer access_key . Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito. |
Sin compromiso a largo plazo. Mejora, reduce o cancela en cualquier momento. La Prueba Gratuita incluye hasta 50 solicitudes.
El endpoint de análisis de opiniones devuelve una salida completa que incluye sentimiento general, categorías, aspectos, análisis semántico y un resumen semántico de la reseña del hotel proporcionada.
Los campos clave en la respuesta incluyen "sentimiento_general," "categorías," "aspectos," "análisis_semántico," y "resumen_semántico," cada uno proporcionando información sobre diferentes dimensiones de la reseña.
Los datos de respuesta están estructurados en un formato JSON, con cada clave representando un aspecto específico del análisis. Por ejemplo, "sentimiento_general" indica el sentimiento general, mientras que "aspectos" detalla elementos específicos mencionados en la reseña.
El punto final proporciona información sobre el sentimiento del cliente, identifica categorías y aspectos clave de la reseña, y ofrece un resumen semántico, ayudando a los usuarios a comprender las opiniones de los clientes de manera integral.
Los usuarios pueden personalizar sus solicitudes proporcionando un texto específico de reseña de hotel al punto final Ejecutar Análisis, lo que permite un análisis de sentimiento a medida basado en la retroalimentación de cada cliente.
La API utiliza una colección de más de 149 modelos semánticos diseñados específicamente para la industria de la hospitalidad, asegurando que el análisis sea relevante y preciso para las reseñas de hoteles.
La precisión de los datos se mantiene a través del uso de modelos semánticos especializados que se refinan continuamente en función de las tendencias de la industria y la retroalimentación de los usuarios, asegurando un análisis de sentimientos confiable.
Los casos de uso típicos incluyen el monitoreo de la satisfacción del cliente, la generación de informes detallados sobre las preferencias de los huéspedes y la mejora de las estrategias de marketing al resaltar aspectos positivos de la experiencia en el hotel.
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