Document Classification
Document classification is a rule-based project developed in Python to classify text documents. Rules are CSV files containing word phrases with some weight. This project is used to classify the text documents stored in local as well as the AWS S3 bucket. IT creates a CSV file with the name and path of text document and updates the document classified category. According to the provided document classification category, it creates the folders and stores the classified files under that folder. It uses CSV files to store rules because anyone can easily update the ruleset files.
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