Reseñas y detalles del producto de Google Cloud Natural Language API

Mejores y más baratos servicios proporcionados por Google Cloud y con la mejor escalabilidad y algunos servicios totalmente gestionados con la mejor interfaz de usuario. Reseña recopilada por y alojada en G2.com.

Hay algunos servicios que necesitan algo de claridad, como alguna configuración que está bloqueada por Google mismo. Reseña recopilada por y alojada en G2.com.

Integración con otros servicios de Google Cloud Reseña recopilada por y alojada en G2.com.

Costo

Límites de solicitudes

Dependencia de la nube Reseña recopilada por y alojada en G2.com.

Me gusta el uso de la API ya que está muy bien documentada y es muy fácil de usar. También me gusta la capacidad de proporcionar los mejores resultados, como en la comprensión del lenguaje, el análisis, el reconocimiento de entidades. Reseña recopilada por y alojada en G2.com.

No me gusta que Google Cloud Natural Language API no sea 100 por ciento preciso en el análisis de sentimientos y a veces proporciona datos incorrectos. Tampoco me gusta que no soporte todos los idiomas. Reseña recopilada por y alojada en G2.com.

I recently integrated the Google Cloud Natural Language API into our ticketing system, leveraging its powerful capabilities in sentiment analysis and entity recognition. The results have been nothing short of impressive, significantly enhancing the efficiency of our text-based data processing. Reseña recopilada por y alojada en G2.com.

As far as I know, we didn't have much of a dislike using it. Reseña recopilada por y alojada en G2.com.

Es fácil de conectar y la calidad de las voces es la mejor de su clase. A menudo, nuestros clientes ahora solicitan usar las voces de Google en lugar de grabar sus propios mensajes. Reseña recopilada por y alojada en G2.com.

En este momento, nada. Han estado en la cima de su juego durante los últimos años haciendo que los mensajes de IVR sean claros y humanos. Espero que continúen haciendo lo que han estado haciendo para hacer este producto excelente. Reseña recopilada por y alojada en G2.com.

I have been using to test certain models for my workspace. It was ease of Implementation for development and testing. And I have raised customer Support and quick response Reseña recopilada por y alojada en G2.com.

Still Now, whatever i used it is working perfectly. There is no cons Reseña recopilada por y alojada en G2.com.

No necesitas experiencia en el dominio para construir un modelo para tareas individuales, solo necesitas proporcionar tu consulta/datos con la ayuda de un código Python sencillo. La inferencia fue bastante rápida con buenos resultados. Reseña recopilada por y alojada en G2.com.

Los datos no alineados con modelos preentrenados no estaban funcionando muy bien y el precio era un poco alto para entrenar con AutoML. Soporte limitado disponible para otros idiomas. Reseña recopilada por y alojada en G2.com.

It exposes REST API endpoints which provides entities extraction ,sentiment analysis and classification in a single call. for You can integrate NLP based functionalities in your app by directly integrating their APIs. Reseña recopilada por y alojada en G2.com.

Trained model APIs which can do question answering from text based passage is a major missing from this document based NLP products. It will be great if they can expose an API where we provide text as input and a question as an input and it returns matching answer from the provided text. I feel this is missing and can be added. Reseña recopilada por y alojada en G2.com.

Google Cloud Natural Language API tiene grandes capacidades que todos los desarrolladores pueden aprovechar para el análisis de sentimientos, clasificación de contenido, análisis de sintaxis, etc. Reseña recopilada por y alojada en G2.com.

El precio es un poco elevado, lo que dificulta que las startups con fondos limitados utilicen Google Cloud Natural Language API en su máximo potencial. Reseña recopilada por y alojada en G2.com.

Something that I like best about Google Cloud Normal Language Programming interface is its capacity to dissect the text and concentrate experiences rapidly and precisely. With a Regular Language Programming interface, organizations can undoubtedly investigate enormous volumes of message information, for example, client input, item surveys, or virtual entertainment posts, to acquire significant bits of knowledge into client opinion, and arising patterns and that's only the tip of the iceberg.

One more extraordinary element of the Normal Language Programming interface is its help for different dialects. With help from north of 30 dialects, organizations can break down message information in different dialects and gain experience in worldwide business sectors and client opinion.

The convenience of the Regular Language Programming interface is another element that individuals appreciate. With its easy-to-use interface, organizations can undoubtedly incorporate Regular Language Programming interface into their current work processes, without requiring broad specialized aptitude.

Normal Language Programming interface likewise offers a scope of elements to assist organizations with investigating text information all the more real. These incorporate substance acknowledgement, feeling examination, and linguistic structure investigation and that's only the tip of the iceberg. With these highlights, organizations can rapidly and precisely remove bits of knowledge from text information, without going through hours physically dissecting each piece of information.

One more advantage of the Regular Language Programming interface is its versatility. Organizations can utilize the Normal Language Programming interface to examine little datasets or increase to dissect a large number of bits of text information. This versatility permits organizations to adjust to changing necessities and examine information all the more effectively.

Generally speaking, the Google Cloud Normal Language Programming interface is a useful asset for organizations hoping to acquire bits of knowledge from the text information. Its exactness, support for numerous dialects, convenience, and versatility are only a portion of the advantages that clients appreciate. Reseña recopilada por y alojada en G2.com.

One normal objection I have is the expense of utilizing the Regular Language Programming interface. While Google Cloud offers a complementary plan, organizations with bigger volumes of text information might find the expense of utilizing the Normal Language Programming interface to be restrictive, particularly when contrasted with other comparative administrations.

One more restriction of the Regular Language Programming interface is its precision. While the Regular Language Programming interface is by and large exceptionally exact in its text examination, it may not necessarily in all cases produce wonderful outcomes, especially while managing more mind-boggling text information or nuanced language. At times, clients might have to physically survey the outcomes delivered by the Normal Language Programming interface to guarantee that they are precise and valuable.

One more expected downside of the Regular Language Programming interface is its restricted customization choices. While the Programming interface gives a scope of highlights and settings that clients can conform to their necessities, a few clients might observe that they can't tweak the Programming interface however much they would like.

At long last, a few clients might find the expectation to learn and adapt to the Regular Language Programming interface to be steep, especially in the event that they are curious about AI or information examination. While the Programming interface is intended to be easy to use, a few clients might need extra help or preparation to capitalize on the Programming interface.

By and large, while the Google Cloud Regular Language Programming interface has numerous qualities, clients might track down its expense, precision, customization choices, and expectation to learn and adapt to be likely disadvantages. Reseña recopilada por y alojada en G2.com.