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LifeLine-HealthServices-text-classification

Problem Statement

LifeLine HealthServices is a top ranked Health care provider in USA with stellar credentials and provides high quality-care with focus on end-to-end Health care services. The Heath Care Services range from basic medical diagnostics to critical emergency services.

The provider follows a ticketing system for all the telephonic calls received across all the departments.

Calls to the provider can be for New Appointment, Cancellation, Lab Queries, Medical Refills, Insurance Related, General Doctor Advise etc. The Tickets have the details of Summary of the call and description of the calls written by various staff members with no standard text guidelines.

The challenge is, based on the Text in the Summary and Description of the call written in “converse” Column, the ticket is to be classified to Appropriate Category (out of 21 Categories)

Data Description

Train data:

contains the converstation in text form with its labels

Teset data:

Test data only contains of converstation in text form we are expected to predict the correct ticket out of 21 tickets for each conversation

Evaluation Metric

The evaluation metric used here was Accuracy

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