Abstract: The growing volume of unstructured text data in the banking sector has created a need for advanced classification methods to manage customer inquiries efficiently, resulting in faster ...
Three NLP techniques were identified in the included studies: sentiment analysis (n=32), topic modelling (n=15) and text classification (n=7). Sentiment analysis was applied to explore associations ...
Abstract: Text Classification is the most widely studied problem area in Natural Language Processing (NLP). BERT is the most popular NLP model based on Transfer Learning with its pre-trained model ...
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