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Deep Learning for Consumer Complaint Classification by marvelloki51 is a document available to read on EtoBox.

The document presents a project on automating consumer complaint classification using deep learning and word embedding techniques, achieving a 93% F-score with models like DistilBERT and CNN. It highlights the inefficiencies of manual classification and proposes a scalable, real-time solution to enhance customer satisfaction. Future enhancements include incorporating advanced NLP techniques, multi-language support, and sentiment analysis for improved accuracy and insights.

Author
marvelloki51
Language
EN