saritha5 commited on
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f449469
1 Parent(s): 0e6dd11

Update app.py

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  1. app.py +2 -0
app.py CHANGED
@@ -54,6 +54,8 @@ def classify_compliant(text):
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  title="Customer Complaints Categorization"
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  description = """
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  This application uses fine-tuned Roberta to perform Customer Complaints Categorization. Roberta is a popular pre-trained language model that can be used for a variety of natural language processing tasks. This text classification model helps the company to categorize incoming support requests submitted by users and determine the appropriate course of action. The application can provide an opportunity for the service provider to resolve the customer’s problems on time and therefore, reduce dissatisfaction levels.
 
 
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  Write a complaint on an insurance product or service and see how the machine learning model is able to Categorization your Complaint. Below is the type in which the complaints are segmented:
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  1. Debt Collection
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  2. False Claim or Statement
 
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  title="Customer Complaints Categorization"
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  description = """
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  This application uses fine-tuned Roberta to perform Customer Complaints Categorization. Roberta is a popular pre-trained language model that can be used for a variety of natural language processing tasks. This text classification model helps the company to categorize incoming support requests submitted by users and determine the appropriate course of action. The application can provide an opportunity for the service provider to resolve the customer’s problems on time and therefore, reduce dissatisfaction levels.
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+
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+
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  Write a complaint on an insurance product or service and see how the machine learning model is able to Categorization your Complaint. Below is the type in which the complaints are segmented:
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  1. Debt Collection
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  2. False Claim or Statement