Sakhrani/Email_Assigning_2024-10-04

Email Classification Dataset Overview This dataset contains 100 rows of simulated emails intended for training a text classification model. The model can classify emails into departments and determine the criticality of each email.

Columns: Email: A string containing the email subject and body. Department: An integer representing the department the email is associated with: 1: Catalogue Department 2: Integration Department 3: Sales Department 4: Onboarding Department 5: Support Department 6: Payment Department Criticality: An integer representing the urgency of the email: 0: Non-Critical 1: Critical 2: Very Critical Example Entries: Email Department Criticality subject : Need assistance with onboarding process. body : We need help setting up the onboarding for new employees. 1 1 subject : Update required for the catalogue. body : Can you update the catalogue with the new products? 1 2 subject : Payment processing problem. body : We need detailed information on your product offerings. 3 2 Usage: This dataset can be used for training machine learning models to:

Classify emails into specific departments based on content. Determine the urgency of the email (non-critical, critical, very critical). Structure: Emails: Simulated email subjects and bodies that provide context for classification. Departments: Numerical values indicating which department the email should be assigned to. Criticality: Numerical values indicating the urgency of the email.