This repository is currently an empty container. The analysis below assumes the intent based on the repository name and metadata, but stresses the fundamental lack of executable code. * DistilBERT emotion classification is currently missing, as the repository holds zero application logic or model fine-tuning code. * Structurally, the reliance on Jupyter Notebooks suggests an experimental approach, not a hardened production-ready NLP pipeline architecture. * Architecture scores are misleadingly high; salt the metrics until the core data preprocessing and training scripts are uploaded. * Prioritize uploading the critical code defining the NLP architecture and the required DistilBERT environment configuration immediately.
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