I have used Amazon Comprehend primarily for sentiment analysis in my project. I analyze customer transcripts to determine if they are satisfied with the agents they interact with. I store the transcripts in DynamoDB and pass them sentence by sentence to Comprehend to get a score indicating positive, negative, or neutral sentiment. For instance, if there are ten consecutive negative sentiment scores, it suggests the customer is unhappy with the agent. This sentiment analysis is conducted using AWS Lambda, which calls the Comprehend API.
Data Science Platforms facilitate data analysis, machine learning, and predictive modeling. These platforms integrate tools and libraries, streamlining the workflow for data scientists.Data Science Platforms support a wide range of data analytics and machine learning tasks, making them essential for data-driven decision-making. They offer robust tools for data preparation, model building, and deployment. By integrating with various data sources and supporting multiple programming languages,...
I have used Amazon Comprehend primarily for sentiment analysis in my project. I analyze customer transcripts to determine if they are satisfied with the agents they interact with. I store the transcripts in DynamoDB and pass them sentence by sentence to Comprehend to get a score indicating positive, negative, or neutral sentiment. For instance, if there are ten consecutive negative sentiment scores, it suggests the customer is unhappy with the agent. This sentiment analysis is conducted using AWS Lambda, which calls the Comprehend API.
I use it to extract medical entities for doctors like the deceased and so on. It does the job well for our requirements. It is mainly for automation.