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This project applies natural language processing (NLP) to analyze 10-K filings from apparel and accessories firms. The analysis covers data cleaning, keyword extraction (Word Count & TF-IDF), Word2Vec embedding training, and firm similarity analysis to identify competitors and industry patterns.