Amazon Comprehend Reviews and details

Social recommendations and mentions

• Building Serverless Applications with AWS - Data

  Would you like additional capabilities like connecting to Machine Learning, Dashboards and Quicksight and leveraging other tools like Comprehend. - Source: dev.to / 10 months ago

• Level Up Your Blog With Writer Analytics and Text-to-Speech

  Once again, I asked ChatGPT to perform this analysis. I could have used some of the AI tools provided by AWS, like the detectSentiment API from Amazon Comprehend, but tools like ChatGPT make it so easy to just add a simple "also, tell me in one word what the sentiment is" clause to a query I'm asking. - Source: dev.to / 12 months ago

• The Amplify Series, Part 6: Using the power of AI and Machine Learning with Amplify Predictions

  And now we can run amplify push to create the resources in AWS. The AWS service that will be used for this functionality is Amazon Comprehend. The pricing for this service can be found here. - Source: dev.to / about 1 year ago

• How does the Tech World react to the existence of ChatGPT?

  Amazon has developed its own NLP service called Amazon Comprehend, which is designed to extract insights and relationships from unstructured text data. Source: about 1 year ago

• Instance type or cost for an NLP server?

  First, can you use a different AWS service, such as Comprehend or SageMaker? You only "pay for what you use" instead of paying for an idle server. This is especially helpful for a start up, since you don't pay a lot if you don't have a lot of customers.. Source: about 1 year ago

• Serverless Event Driven AI as a Service

  Comprehend is a natural-language processing (NLP) service using machine learning to get insights from text & documents. - Source: dev.to / over 1 year ago

• Show HN: A tool to test investment strategies that are popular on Reddit

  So the score would be +1. Which makes the comment positive. I also use: https://aws.amazon.com/comprehend/. - Source: Hacker News / over 1 year ago

• Using AWS for Text Classification Part-1

  Online conversations are ubiquitous in modern life, spanning industries from video games to telecommunications. This has led to an exponential growth in the amount of online conversation data, which has helped develop state-of-the-art natural language processing (NLP) systems like chatbots and natural language generation (NLG) models. Over time, various NLP techniques for text analysis have also evolved. This... - Source: dev.to / over 1 year ago

• AWS NLP Newsletter - June 2022

  Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships like people, places, sentiments, and topics in unstructured text. You can use Amazon Comprehend ML capabilities to detect and redact personally identifiable information (PII) in customer emails, support tickets, product reviews, social media, and more. Now, Amazon Comprehend PII supports... - Source: dev.to / almost 2 years ago

• Leaked: New Amazon Worker Chat App to Ban Words Like “Union,” “Restrooms,” “Pay Raise,” and “Plantation”

  Don't be too sure https://aws.amazon.com/comprehend/. Source: about 2 years ago

• During the revolution I’ll be… *checks notes* an ideas guy!

  I'm not looking for 100% success. Even 10% is FAR better than manually going through threads/posts/comments/tweets. It can be something as basic as using Python SpaCy on a few phrases you want to look out for, or more advanced solutions I'm sure are out there for matching whatever phrase/sentence you wish to find. Not sure if Amazon Comprehend would be such a solution or not? Google Natural Language AI? ... Source: about 2 years ago

• Europe servers are already fucked and now bots that will also take up server space damn

  Wheres the AWS account manager who should be spamming AGS to use https://aws.amazon.com/comprehend/? Source: about 2 years ago

• Scalable Processing of Swiss PDF Documents using 2D Barcodes on AWS

  DUS - Document understanding solution is an example application from AWS Labs which illustrates how to utilize multiple AI/Machine Learning capabilities to solve various document processing and understanding cases. It shows how to combine and leverage the power of various AWS technologies like Amazon Textract and Amazon Comprehend to extract information from structured and unstructured scanned pdf documents or... - Source: dev.to / over 2 years ago

• AWS - NLP newsletter - 2021. Oct.

  You already know how to use Amazon Redshift to transform data using simple SQL commands and built-in functions. Now you can also use Amazon Redshift to translate, analyze, and redact text fields, thanks to Amazon Translate, Amazon Comprehend, and the power of Amazon Redshift supported AWS Lambda user-defined functions (UDFs). - Source: dev.to / over 2 years ago

• Digital Transformation and IT Modernization for Elections in AWS | AWS Whitepaper Summary

  1- Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. 2- Amazon Comprehend lets you integrate Amazon Pinpoint with other AWS services to create a solution that meets your unique needs. It can learn the sentiment hidden inside language. - Source: dev.to / over 2 years ago

• Sentiment Analysis with Step Functions using the CDK

  Detect the sentiment of user feedback using Amazon Comprehend. - Source: dev.to / almost 3 years ago

• Possible overvalued stocks in S&P 500

  The rest are not even close. They may provide VMs / containers / storage, but they don't have the technology that makes the cloud migration to be worth it(like Amazon Comprehend). Source: almost 3 years ago

• AWS Machine Learning Tools in 2021

  Amazon Comprehend for natural language processing and text analytics helps you understand text sentiment and relate texts to each other. - Source: dev.to / about 3 years ago

• Project Sentiment Tracker Using AWS Comprehend + Serverless in 1 hour

  AWS Comprehend was the obvious choice for setting up this low volume requirement. The API is easy and clear with no surprises on the usage pricing. Although it can do a lot more, I used it purely for the sentiment requirement. In the future, I hope to use Keyphrase Extraction, Topic Modeling and Entity Recognition to automatically tag issues and comments and even possibly assign them automatically. - Source: dev.to / about 3 years ago