Amazon Comprehend vs. Kimola Cognitive

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.

Incentivized

Since using the tool for 4 months we have been extremely pleased with its performance. I've decided to share this review after receiving an email from the Kimola Team, and once I'm in the consumer insights business, I'll definitely support them. The interface and design are fantastic, with a great choice of colors, and Kimola has consistently introduced numerous improvements to the product since we first started using it. The ease of use is unmatched, allowing us to gain new insights and perspectives that were previously unattainable

• 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.

Incentivized

• Despite exploring various software options to analyze client feedback, none have proven as specific and accurate as Kimola Cognitive.

• 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.

Incentivized

• I believe that more language support should be added and it should reach more customers.

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.

Incentivized

• 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.

Incentivized

• In order to create a custom model, if you are not experienced in this field, you need to watch a video on youtube. This question has little to do with Kimola.