Google Cloud Natural Language API Reviews & Product Details - Page 8

Best and cheaper services provided by Google cloud and with best scalability and some services and fully managed with best UI. Review collected by and hosted on G2.com.

There are some services needs some clarity like some configuration which is blocked by Google itself. Review collected by and hosted on G2.com.

Integration with other Google Cloud services Review collected by and hosted on G2.com.

Cost

Request limits

Cloud dependency Review collected by and hosted on G2.com.

I like the use of api as it is very well documented and very easy to use. I also like the capital of providing best results such as in language understanding, alalysis, entity recognition. Review collected by and hosted on G2.com.

I dislike about Google Cloud Natural Language API is not 100 percent accurate in sentiment analysis and some time it provide wrong data.I also don't like about this is not support all languages. Review collected by and hosted on 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. Review collected by and hosted on G2.com.

As far as I know, we didn't have much of a dislike using it. Review collected by and hosted on G2.com.

It is easy to connect and the quality of the voices are best in class. Often our clients are now requesting to use the voices from Google over recording their own prompts. Review collected by and hosted on G2.com.

Right now, nothing. They have been on the top of their game for the last few years making IVR prompts crisp and human like. I hope they continue doing what they have been doing to make this product great. Review collected by and hosted on 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 Review collected by and hosted on G2.com.

Still Now, whatever i used it is working perfectly. There is no cons Review collected by and hosted on G2.com.

You don't need domain expertise to build a model for individual tasks, just need to provide your query/data with the help of easy Python code. Inference was quite fast with good results. Review collected by and hosted on G2.com.

Non-aligned data with pre-trained models was not performing very well and the price bit high for train with AutoML. Limited support available for other languages. Review collected by and hosted on 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. Review collected by and hosted on 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. Review collected by and hosted on G2.com.

Google Cloud Natural Language API has great capabilities that all developers can leverage for sentiment analysis, classification of content, analysis syntax, etc. Review collected by and hosted on G2.com.

The pricing is a bit on the higher end which makes it difficult for startups that are tight on funds to use Google Cloud Natural Language API to its full potential. Review collected by and hosted on 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. Review collected by and hosted on 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. Review collected by and hosted on G2.com.