Amazon Comprehend vs. Google Cloud Natural Language API vs. InMoment Text Analytics

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

Its compatibility with Microsoft Excel makes it a great platform. It is a powerful tuning, workbench, and reporting application that resides within Microsoft Excel. This ability helps data analysts instantly gain actionable and valuable insights.

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

• assign sentiment score
• word cloud
• Categorization
• multilingual
• has good visualization

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

• Sentence parsing can be even better
• Sometimes cant predicts the sentiments
• Reporting can be even better with best histograms and diagrams
• Dash is somewhat difficult to understand

Incentivized

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

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

It offers extensive text analysis capabilities and you can easily create a visual representation.

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

• Diffbot content extraction
• The application integrates text analysis efficiently. I can identify changes and detect trends by evaluating posts, comments, tweets and other documentation on social media platforms and in the digital realm in general.

Incentivized