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Tools for analyzing your word embeddings model sustainability on different word transformations such as removing/inserting or shuffling characters
Requirements
python, numpy, matplotlib, seaborn, fasttext (or any embedding model)
About
Analysis of word embeddings robustness to noise, transformations, and perturbations. Measures how different modifications (character swaps, insertions, deletions) affect embedding stability.