Avaliações 104 Google Cloud Natural Language API
Sentimento Geral da Revisão para Google Cloud Natural Language API
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Melhores e mais baratos serviços fornecidos pelo Google Cloud e com melhor escalabilidade e alguns serviços totalmente geridos com a melhor interface de usuário. Análise coletada por e hospedada no G2.com.
Há alguns serviços que precisam de clareza, como algumas configurações que são bloqueadas pelo próprio Google. Análise coletada por e hospedada no G2.com.
Eu gosto do uso de API, pois é muito bem documentada e muito fácil de usar. Eu também gosto da capacidade de fornecer os melhores resultados, como na compreensão de linguagem, análise, reconhecimento de entidades. Análise coletada por e hospedada no G2.com.
Eu não gosto que o Google Cloud Natural Language API não seja 100 por cento preciso na análise de sentimentos e, às vezes, fornece dados errados. Também não gosto que não suporte todos os idiomas. Análise coletada por e hospedada no 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. Análise coletada por e hospedada no G2.com.
As far as I know, we didn't have much of a dislike using it. Análise coletada por e hospedada no G2.com.
É fácil de conectar e a qualidade das vozes é a melhor da categoria. Frequentemente, nossos clientes agora estão solicitando usar as vozes do Google em vez de gravar seus próprios prompts. Análise coletada por e hospedada no G2.com.
Neste momento, nada. Eles têm estado no auge do seu desempenho nos últimos anos, tornando os prompts de IVR nítidos e semelhantes aos humanos. Espero que continuem a fazer o que têm feito para tornar este produto excelente. Análise coletada por e hospedada no 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 Análise coletada por e hospedada no G2.com.
Still Now, whatever i used it is working perfectly. There is no cons Análise coletada por e hospedada no G2.com.
Você não precisa de expertise em domínio para construir um modelo para tarefas individuais, apenas precisa fornecer sua consulta/dados com a ajuda de um código Python fácil. A inferência foi bastante rápida com bons resultados. Análise coletada por e hospedada no G2.com.
Dados não alinhados com modelos pré-treinados não estavam apresentando um desempenho muito bom e o preço um pouco alto para treinar com AutoML. Suporte limitado disponível para outros idiomas. Análise coletada por e hospedada no 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. Análise coletada por e hospedada no 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. Análise coletada por e hospedada no G2.com.
Google Cloud Natural Language API tem grandes capacidades que todos os desenvolvedores podem aproveitar para análise de sentimento, classificação de conteúdo, análise de sintaxe, etc. Análise coletada por e hospedada no G2.com.
O preço é um pouco mais elevado, o que dificulta para startups com recursos limitados usarem o Google Cloud Natural Language API em todo o seu potencial. Análise coletada por e hospedada no 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. Análise coletada por e hospedada no 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. Análise coletada por e hospedada no G2.com.
