Risk Prediction Sentiment Analysis
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TR Number
Date
2021-12-13
Journal Title
Journal ISSN
Volume Title
Publisher
Virginia Tech
Abstract
Risk Sentiment Analysis proposes a solution for companies to evaluate user submitted reports to determine workplace safety. The web application develops a pipeline for managers to submit employee CSVs to be processed through a custom sentiment analysis model in AWS. Alongside that, it has graphical presentation capabilities to easily interpret queried data. Finally, the web application supports a feedback loop of re-training the model to improve its accuracy with a page dedicated for human review.
Description
Keywords
Machine learning, AWS, Hypertext, Sentiment Analysis, Natural Language Processing, NLP, JavaScript, React.js, AWS Comprehend, AWS S3, AWS EC2, AWS DynamoDB