Amazon Comprehend vs. Google Cloud Natural Language API vs. PG Forsta HX Platform

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

As I mentioned in the begining, we have some influence as our client, his engagement ratio was lesser than expected for good brand/promotion integration despite of good views. We analyzed the comments and share the final insights to the influencer, he made some recommended changes and now he has good engagement ratio. Based on out 8-9 months experience with Google Cloud Natural Language API, I don't find ay scenario which was not upto the mark.

Incentivized

They have done a good job at helping us maintain the integrity of the project while transitioning to a completely new platform. Our Voice of the Customer program happens to consist of multiple surveys within one "master" so I guess logistically it could be considered complex

Incentivized

• 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

• Confirmit has a fairly shallow learning curve allowing someone with no experience to be able to create a simple survey with not much time invested in training.
• Confirmit also has the flexibility to be used in very advanced ways. Whether modifying the display/page content's layout or modifying input types with jQuery, it is incredibly adaptable.
• Confirmit (with v. 18) now collects data in a true SQL database which is far more robust and easy to administrate than some other methods of data storage.

Incentivized

• 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

• Ensure correct data collection. This is Confirmit's main goal, and which sometimes fails to succeed.
• Integrated data back-up service. It would be great if we could look at the data from a couple days previous.
• Interactive layout creator. Current layout creator is really "squared" as we say, it needs more flexibility with all the incoming technologies such as HTML5 and CSS3.

From my point of view Confirmit has been a key tool in our organization. Without it we can't deliver what we do at this moment. Confirmit has proved that is a reliable, stable and easy to use tool. The few issues we found (as far as I know) were sent to Confirmit support team and fix them. Patching the product has been done faster and without large downtime of the product

Because of its ROI and less requirement of manpower. On average we are getting 200 - 250% ROI quarterly. Also, we have reduced the team size but without affecting our business process and outcome

Incentivized

Confirmit is a very technical tool, it takes time for someone to get used to the interface, even when it could definitely be more intuitive or user friendly, this is part of Confirmit's strenghts that makes it one of the most robust data collection technologies out there.

The support team is responsive and I can tell that they are actually trying to help get to the heart of the issues before making us try every possible solution available. They ask the right questions and test things before coming back to us with proposals. I like the support team at Confirmit.

Incentivized

Should let the professionals handle implementation, don't have only the operations team at your company do it.

Incentivized

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

1- ROI is better than MS translator 2- MS translator just provide result more based on factually correct and hance loosed human emotions. Google Cloud Natural Language API is much better in this domain.

Incentivized

Forsta has a strong product functionality and performance. Integration capabilities are fantastic and it has strong customer focus. Pre-existing relationships also helped in cracking this deal. People at Forsta are helpful and customer centric. Although cost is not highly competitive but it comes close to value for money. Competitors have quite a few functionalities but there are additional charges levied for them.

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

• I love Confirmit, the only negative is that my experience using any other program is always terrible in comparison.
• I had Confirmit rep come into the office and was disapointed that they didn't have much informaton on how to use it as a researcher in marking research, perhaps employing more internal marketing researchers would help that.

Incentivized