geetakudumula/llm-sentiment-analysis-banking-demo
BERT-based sentiment analysis of banking feedback using Hugging Face Transformers
This project helps banks and financial institutions quickly understand customer sentiment from feedback like chatbot interactions or online surveys. It takes customer comments as input and classifies them as 'positive' or 'negative', indicating overall customer satisfaction. This is ideal for customer experience managers, product managers, or market researchers in the banking sector.
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Use this if you need to automate the analysis of large volumes of customer feedback to gauge sentiment in the banking industry.
Not ideal if you require a multi-label sentiment classification (e.g., classifying emotions like joy, anger, sadness) or a system that can adapt to non-banking specific language.
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Apr 10, 2025
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