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 Natural Language API is its ability to analyze text and extract insights quickly and accurately. With a Natural Language API, businesses can easily explore large volumes of text data, such as customer feedback, product reviews, or social media posts, to gain valuable insights into customer sentiment, emerging trends, and more.

Another great feature of the Natural Language API is its support for multiple languages. With support for over 30 languages, businesses can analyze text data in various languages and gain insights into global markets and customer sentiment.

The ease of use of the Natural Language API is another feature that people appreciate. With its user-friendly interface, businesses can easily integrate the Natural Language API into their existing workflows, without requiring extensive technical expertise.

The Natural Language API also offers a range of features to help businesses analyze text data more effectively. These include content recognition, sentiment analysis, and syntax analysis, among others. With these features, businesses can quickly and accurately extract insights from text data, without spending hours manually analyzing each piece of data.

Another advantage of the Natural Language API is its scalability. Businesses can use the Natural Language API to analyze small datasets or scale up to analyze millions of pieces of text data. This scalability allows businesses to adapt to changing needs and analyze data more efficiently.

Overall, the Google Cloud Natural Language API is a powerful tool for businesses looking to gain insights from text data. Its accuracy, support for multiple languages, ease of use, and scalability are just some of the benefits that users appreciate. Review collected by and hosted on G2.com.

One normal objection I have is the expense of utilizing the Natural Language API. While Google Cloud offers a free plan, organizations with larger volumes of text data may find the cost of using the Natural Language API to be prohibitive, especially when compared to other similar services.

Another limitation of the Natural Language API is its accuracy. While the Natural Language API is generally very accurate in its text analysis, it may not always produce perfect results, especially when dealing with more complex text data or nuanced language. In some cases, users may need to manually review the results produced by the Natural Language API to ensure that they are accurate and useful.

Another potential downside of the Natural Language API is its limited customization options. While the API provides a range of features and settings that users can adjust to their needs, some users may find that they cannot customize the API as much as they would like.

Finally, some users may find the learning curve for the Natural Language API to be steep, especially if they are not familiar with AI or data analysis. While the API is designed to be user-friendly, some users may need additional support or training to make the most of the API.

Overall, while the Google Cloud Natural Language API has many strengths, users may find its cost, accuracy, customization options, and learning curve to be potential drawbacks. Review collected by and hosted on G2.com.

It is a very handy and simple API to integrate and use. I loved how I was able to use the sentiment analysis feature easily in my application using this API. Review collected by and hosted on G2.com.

It was overall a great API to use but I think that maybe we can do something to make it more faster. Review collected by and hosted on G2.com.

The productivity that it provides was very excellent Review collected by and hosted on G2.com.

Everything was pretty good so I don't think i have any dislike about it Review collected by and hosted on G2.com.

Its for sure a market leader in this aspect. The API is fast and easy to use, while the overall experience in identifying sentiments is accurate and on-point. Recommended! Review collected by and hosted on G2.com.

Personally I've had to do a lot of data cleaning for minor things that could have been handled better from their APIs end fot a better experience. Naturally the resources used will be proportional to the datasize though Review collected by and hosted on G2.com.

There are several best things about Google cloud natural language API, it's very easy to use and it has some advance features like sentiment analysis, entity recognition. Review collected by and hosted on G2.com.

As an language model, it has some drawbacks, this tool support only one language that is english. Review collected by and hosted on G2.com.

With it, you can identify the user context, the object, and the subject of a statement. Review collected by and hosted on G2.com.

If we use all Google services, this is seamless integration that Google provides, but when Amazon's services are used, the integration might be a problem. Amazon's services definitely work, but not at the same level of seamless integration that Google provides. Review collected by and hosted on G2.com.

This is if not mistake the best trained model for natural language. Review collected by and hosted on G2.com.

Well complication and cost to use the tools Review collected by and hosted on G2.com.