Google Cloud Natural Language API Reviews & Product Details

Its very good to automate context understanding and syntax understanding as well. And it perfectly integrates with the Google Cloud Stack of Services, which makes it an even more compelling service Review collected by and hosted on G2.com.

Sometimes, I do feel like it needs a bit more training and more context window to have a better clear understanding of the sentences Review collected by and hosted on G2.com.

Features and accuracy of model, there are a lot of pre-trained models out there but not all have extensive features with accuracy. Entity and sentiment analysis etc, can widely be used in different industries i.e. entertainment, detections systems etc. If you start from scratch then you need to spend months and years to collect, manipulate and extract data along with the research for such great accuracy so yea its a likeable API. Review collected by and hosted on G2.com.

Pricing is little bit higher in my opninion. Review collected by and hosted on G2.com.

It's sentiments detection feature is the most powerful thing for us. We use Google Cloud Natural Language API to conclude the overall reviews data of our company given by many users by using it's sentiments detection features.

Additionally, we found integration is very smooth with our product of Google cloud NL API. Review collected by and hosted on G2.com.

Based upon my use cases I could not find any cons of Google Cloud Natural. language API although there is a room of improvements in terms of training a model when we don't have too much date. It requires too much data to train a model and I think this is something that Google can improve in this API. Review collected by and hosted on G2.com.

Simple to use and offers technology for natural language understanding by using syntactic analysis to uncover the structure and meaning of text through hundreds of pretrained classifications.

In chatbot, it interprets and analyses natural language exchanges with customers. Its pretrained models, which require no training data, come in very handy for me when I need to make predictions but have limited data.

Pricing is absolutely fine it has various categories in which you can save your cost. Review collected by and hosted on G2.com.

The lack of model accessibility and inflexibility, in my opinion, had an impact on the outcome because most activities in the real world likely call for more specialised solutions than what the standardised natural language API functions can offer. Review collected by and hosted on G2.com.

* It's a very Convenient solution for solving complex problems which was earlier very tedious and time taking.

* Text recognition and analysis is the prime feature of Google cloud Natural Language api Review collected by and hosted on G2.com.

* Very less flexibility is the prime problem for the of Google cloud Natural Language API.

* Missing Data model is also a very big issue in Google cloud Natural Language API. Review collected by and hosted on G2.com.

Google and developers is now being all rounder for every advanced technology now has all products and tools for AI, machine learning and NLP which are proven to be great and amazing help for developers working on Machine learning and AI technology advancement.

With that the most amazing and best features for this particular tool wirh the my experience would be as follows- easy to integrate NLP APIs, pre-built promts for AI amd machine learning, text machine learning etc. Review collected by and hosted on G2.com.

There is nothing as such dislikes or downside your asking easy to use and great Google developers cummnity help. Review collected by and hosted on G2.com.

One of the best feature of Google Cloud API is it's accuracy/power to translate source text into desired language without loosing the emotions of source text which is much better than Microsoft Translater. Review collected by and hosted on G2.com.

In my overall 5 months of experience with Google Cloud natural language API, I did not find any negative thing in that Google has provided almost every tools which are very helpful for user/developers although I would say there is a slight room of enhancement in the implementation part. Review collected by and hosted on G2.com.

It is so much accurate feels like wow, when I use it it will give the best optimised output without much integration issues. As I am using this from last three months. I don't have any complaint , and other appritiating thing is that google is updating this frequently and after every update we will get some awsome features. Review collected by and hosted on G2.com.

For businesses this tool becomes costly however it is having free tier at the beginning , but in the later stage it will become costly that is the only concern , and other thing is that we can find only limited documentation for custom models, So this makes life little harder in this case. Review collected by and hosted on G2.com.

Process to generate and use is very easy. It has been used multiple times and the features are excellent. It is easily integrated and implemented using python on any IDE. Its Google so the customer support is A1. Review collected by and hosted on G2.com.

The more it reaches to everyone specially students it might help many researchers. Review collected by and hosted on G2.com.

The Google Cloud natural Language API provides a fast and seamless way of analysing large documents via REST APIs. I have found it very convenient for getting named entities and performing sentiment analysis on long PDF documents. Review collected by and hosted on G2.com.

Python API support is not available. It would be graet if many other language capabiliteis apart from English are added for multi-lingual document analysis. Review collected by and hosted on G2.com.