Vidhi1290/Multi-Class-Text-Classification-using-BERT-Model
Predict consumer financial product categories using BERT, based on over two million customer complaints. This project involves data processing, model building with pre-trained BERT, and making predictions on new text data.
This project helps financial institutions automatically categorize customer complaints. You input raw customer complaint text, and it outputs the specific financial product category the complaint is about. This is ideal for customer service managers, compliance officers, or data analysts in the financial sector who need to quickly understand and route customer feedback.
No commits in the last 6 months.
Use this if you need to automatically sort large volumes of customer feedback or complaints into predefined product categories.
Not ideal if your goal is to analyze sentiment, extract entities, or summarize complaints rather than simply categorize them.
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Feb 01, 2024
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