Amazon Comprehend Pros and Cons

Easy to setup and use.

Can analyze details from text documents, emails and even social media, given proper access.

Supports analyses in batches as well !!

Good integration with other AWS services like S3 Review collected by and hosted on G2.com.

The initial set of insights you get is not good enough. You would need to train the system with large enough data sets multiple times till you start seeing the scores that you are expecting.

Initial setup though easy, takes time depending on your use case.

Price is a little steep. Review collected by and hosted on G2.com.

Easy to use API which gives back important information about the sentiment of a sentence. The confidence score helps to understand the accuracy of the sentiment which Comprehend is giving back to you. Review collected by and hosted on G2.com.

Need to integrate and consume the data on our own as part of your design. For example, if you send a full transcript, you will get back a single sentiment score set. You need to break the transcript into parts and submit each individually. Review collected by and hosted on G2.com.

the most helpful is its usage, very user-friendly, and does not have many obstacles to go over. Also, the tool itself comes with pre-trained models for multiple languages. Review collected by and hosted on G2.com.

the downside of using this tool will be cost consideration it is a pay-as-you-go service that can be cost-effective for any user. Also, data privacy is another that could be a worry for most when using cloud-based services like Amazon Comprehend. Review collected by and hosted on G2.com.

-Supports text documents, E-mails & social media posts (requires user authorization).

-Provides trust scores against each result. A trust score signifies the accuracy level of the extracted keyphrases & sentiments.

-Supports batch text analysis.

-Amazon comprehend can also analyse customer service calls to find out the overall sentiment of the customer & the impact of the call (positive or negative). Review collected by and hosted on G2.com.

-Amazon stores & retains user's text inputs to train & improve it's model.

-Pricing depends upon the number of units per month, AWS charges different prices per API request based on the number of requests in a billing cycle. Review collected by and hosted on G2.com.

It is easy to use as it requires minimal setup.Supports text documents, email and social media posts. It supports batch text analysis, provides trust scores against each result..It can analyse customer support service calls to know the customer sentiments. Review collected by and hosted on G2.com.

Amazon store and retains user's text inputs to train and improve its model.

Amazon uses pay as per use .the booking is done accordinv to the use per month as per UPI requests. It has limited accuracy, aa it is a machine,so manual reviewing is important. It helps in multilingual support. It is scalable as manages large data Review collected by and hosted on G2.com.

The best thing I like about Amazon comprehend is it's ease of use, scalability and wide array of NLP capabilities which helps in extracting insights from text data. Integration with million services and support for multiple languages is a added benefit. Review collected by and hosted on G2.com.

One major concern is cost scalability for large data sets, limited customisation for complex NLP tasks. The learning curve for the tool is also very steep and new users might take time to get used to with the tool. Review collected by and hosted on G2.com.

Comprehend usefully include:

Ease of Use: Amazon Comprehend is easy to use and requires minimal setup. Developers can get started with the service quickly and start analyzing text data in just a few clicks.

Customizability: Amazon Comprehend allows developers to customize their analysis by training their own models with their own data. This means that they can tailor the analysis to their specific needs and get more accurate results.

Multilingual Support: Amazon Comprehend supports multiple languages, including English, Spanish, French, German, Italian, Portuguese, and Japanese. This makes it a versatile tool for analyzing text data from different regions and markets.

Scalability: Amazon Comprehend is a scalable service that can handle large volumes of text data. This makes it useful for analyzing data from social media, customer reviews, and other sources where there is a large amount of text. Review collected by and hosted on G2.com.

While Amazon Comprehend is a powerful tool for analyzing text data, there are a few limitations that users should be aware of:

Limited Accuracy: While Amazon Comprehend's accuracy is generally good, it may not always be accurate, especially when analyzing complex or nuanced text data. Users should be prepared to manually review the results to ensure accuracy.

Cost: Like all AWS services, Amazon Comprehend is a paid service, and the cost can add up quickly if you are analyzing large volumes of text data. Users should be aware of the costs associated with using the service and plan accordingly. Review collected by and hosted on G2.com.

Amazon comprehend is easy to use and set up services for use. This is to make complecated tasks and raise a ticket to make a complaint. Developers can get started with the starts quickly and start analysing quick data. Review collected by and hosted on G2.com.

While amazon comprehend is a powerful tool to analyze text data, there are few limitations. The pricing is slight confusing as well. And it is not still much exposed to the customers who doesn't use it. Review collected by and hosted on G2.com.

It was effortless to use and set up in our codebase. We used it to remove PII from sensitive client content. We set up the service for use, and added it to our codebase in less than a day. Review collected by and hosted on G2.com.

The cost to simply remove PII isn't scalable, depending on what kind of content you are trying to process. The pricing is slightly confusing as well. Review collected by and hosted on G2.com.

Amazon Comprehend is one of may AWS machine learning services. The great part about it is that you do not need to have any ML or NLP knowledge. All you do is you uplaod your text to AWS and it will be automatically analized. Review collected by and hosted on G2.com.

There are some downsides when it comes to usage of machine learning automating tools. Usually it's limited customization. When you create your own machine learning models you can customize it to your own domain/use-case. This is not a case with Amazon comprehend.

The other con is it's not suitable for large volume data - in our case we had some performance issues Review collected by and hosted on G2.com.