Amazon Comprehend Pros and Cons

Amazon comprhend can certainly tell you customer sentiment about your products. Review collected by and hosted on G2.com.

There aren't really downsides, but a human could always do it more accurately. Review collected by and hosted on G2.com.

Ec2,k8 are Good, given good support soon, and smart Review collected by and hosted on G2.com.

Vpc not global, need create voc piarion always Review collected by and hosted on G2.com.

It's simple UI, and well public-facing documentation Review collected by and hosted on G2.com.

Maybe the price is a bit high for startups. Review collected by and hosted on G2.com.

It works really good to identify what language a text is and it have a high accuracy and we use this for ticket updates from customers from around the world. We have agents with native languages that states that amazon comprehend classification of the languages have a high accuracy Review collected by and hosted on G2.com.

I have not seen anything on the downside as we only use it for identify text language Review collected by and hosted on G2.com.

Amazons comprehend is a better option when you need a Pre trained NLP text analysis AI engine, it gives you a lot's of features - Sentiment Analysis, Key phrases extraction, Entities identification,topic modelling.

We have used Comprehend to analyse the sentiments & Entities identification of Audio call transcript to analyze the behavior of the persons in call. Review collected by and hosted on G2.com.

Amazon comprehends topic modelling is not that easy to implement & requires a lot's documents to get the proper result, also it produces output in zip files which again need to be extracted first. Review collected by and hosted on G2.com.

What I like most about this great tool is that it can be integrated with other great AWS software like amazon S3 and Glue, which facilitates the storage of our texts and documents for their previous analysis in Amazon Comprehend, besides this the prices are really accessible because it only charges for the amount of text analyzed, that is why Comprehend can be used by small and large companies. Review collected by and hosted on G2.com.

Its interface is very simple but it works great for what I consider to be no problem since it gives it greater ease of use. Review collected by and hosted on G2.com.

Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. Using Amazon Comprehend we were able to reach our future customers even better. When a new competitor moved into town we had to figure out how to reach the customers better. We were able to figure out what we were doing positively in the customers' eyes and what negative things we needed to figure out. Review collected by and hosted on G2.com.

Its interface is very simple but it works great for what I consider to be no problem since it gives it greater ease of use. Through this multiple directors were able to have control of what they were seeing! Spreading the information through the company was huge for growth! Review collected by and hosted on G2.com.

I love AWS as a platform and what I like about Comprehend is I can integrate this quickly with any other AWS managed services. I have used AWS Comprehend in the past for multiple projects and found the services to be reliably accurate and scalable.

This service offers sentiment analysis, text understanding, entity recognition without the need for building a model, by just accessing an API. In terms of pricing, you only pay by the text analyzed and there is no need to run a server and scale it up when needed, all is done by AWS behind the scenes.

There is really less learning curve for this service and at most 10 mins are needed to start with the usage. Review collected by and hosted on G2.com.

There are a couple of things:

1. The models are generic, so if you are working with data that is very specific, the results would not be encouraging. In this regard, I would suggest using a custom built model and deploy using AWS Sagemaker.

2. The models are pretty basic and don't have all. There are only 4-5 use cases against which this service can be used. If you need more, you'd have build them yourselves and then deploy them. Review collected by and hosted on G2.com.

The learning curve isn't steep, also data handling is simple and the outcomes are very precise. The best part is that just like every other Amazon tool, Comprehend also seamlessly integrates with all the Amazon tools like S3 buckets, which makes the overall usage very easy. Review collected by and hosted on G2.com.

I personally didn't find any major factor to dislike this product as it does exactly what it says. Review collected by and hosted on G2.com.

The portfolio of services offered under Amazon Comprehend--from Medical to Natural Language Processing is one of the best examples of machine learning I've yet seen in the world of Business Intelligence. Truly remarkable! Review collected by and hosted on G2.com.

I've yet to discover anything that I dislike about Amazon Comprehend. It really is an extraordinary piece of software. Review collected by and hosted on G2.com.