Likelihood to Recommend Specifically, it starts processing millions of documents in minutes by leveraging the power of machine learning without having trained models from scratch. If any of the content contains personally identifiable information not only can Amazon Comprehend locate it but it will also redact or mask it. Using NLP techniques Amazon Comprehend goes well beyond keyword search or rules-based tagging to accurately classify documents. For my task or development, I cannot find any difficulties with Amazon Comprehend.
Read full review If you wish to quickly deploy multilingual chatbots without having to worry about infrastructure and model training, go for Amazon Lex. It is one of the best general-purpose conversational AI solutions in the market. The cherry on the cake is that it also seamlessly integrates with other AWS services, so you would be good there. Performance monitoring is very easy with AWS. It has support for both text and integration. If you are not a pro-NLP expert, Amazon Lex will make your job really easy.
Read full review Pros Amazon Comprehend identifies the language of the text and extracts Key-phrases, places, people, brands or events. It can build a custom set of entities or text classification models that are tailored uniquely to the organisation's need Amazon Comprehend's medical can be used to identify medical conditions, medications, dosages, strength and frequencies from sources like doctor's notes, clinical trial reports and patient health records. This service is very good and with well an accuracy or confidence score. Read full review Cons It will be great if Amazon Comprehend provide support specifically for litigation or related text documents to extract insights from it. For REST API support using JAVA SDK, it will be great for developers if they provide support for testing without any credentials or account details. Setting up for REST API integration can be as simple as possible. Read full review Usability Easy to deploy and very easy to integrate with other AWS services. Automating simple tasks is also very easy with Amazon Lex. We never had NLP experts in our team, but we were still able to deploy chatbots for our support functions with minimal issues. Native integration with other AWS services like S3 and Lambda has been of paramount importance.
Read full review Support Rating Community support for Amazon Lex is good. Also, since it is an AWS service, the support has a similar standard as other AWS services. We have had a couple of instances of our bots weren't able to interact with our web apps. We reached out to the support team, and they were able to resolve our issue in no time. The documentation from the Amazon Lex team also makes creating chatbots a breeze.
Read full review Alternatives Considered For natural language processing tasks or techniques, there are many service providers out there in the market such as Azure Cloud Services, IBM Watson and Google Cloud Platform (GCP), but compared with them, Amazon Comprehend is the best service provider in contents of accuracy, speed of processing multilingual text, supporting SDK for most of the languages and well documented.
Read full review Return on Investment It supports better and accurately as compared with our existing or old implementations. So, we fulfil our needs as per clients' requirements and it will help to grow or improve client satisfaction. For these specific requirements, we do not require any machine learning engineers or related professionals to hire in our organisation. None of any negative sides can be affected our business or distract existing clients. Read full review Support satisfaction has increased Time to resolve customer concerns has seen a major improvement Amazon Lex can quickly automate repetitive simple tasks for us Our organization has built NLP capability without having to hire language experts/linguists Since the integration with AWS services is natively supported, our existing DevOps team can manage our Amazon Lex deployment Read full review ScreenShots