Keka is Modern generation HR & Payroll software. Unlike traditional software it is an interactive and intuitive software which focuses on explicitly on user experience and simplifying complex workflows. Keka is an intuitive and interactive HR & Payroll solution. The following are the problem it solves: - It helps in carrying out the Payroll of an organization. - It helps in tracking the Leaves and Attendance of employees in an organization. - It helps in managing project by providing a robust Timesheet solution. - It helps in managing and supervising the performance of a company's employees by its Performance Management system - It helps in tracking applicants for an HR by providing an intelligent ATS(applicant tracking system)
Based on our record, Amazon Comprehend seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Would you like additional capabilities like connecting to Machine Learning, Dashboards and Quicksight and leveraging other tools like Comprehend. - Source: dev.to / 12 months ago
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 / about 1 year ago
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 / over 1 year ago
Amazon has developed its own NLP service called Amazon Comprehend, which is designed to extract insights and relationships from unstructured text data. Source: over 1 year ago
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: over 1 year ago
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