State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.
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Updated
Sep 16, 2024 - Python
State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.
This analysis uses ConsumerAffairs reviews to uncover reasons behind 1-star Starbucks ratings in the US. It uses a text analysis to identify service, product, and cleanliness issues impacting customer satisfaction.
Based on Gerhard Jäger's 2013 paper called "Phylogenetic Inference from Word Lists Using Weighted Alignment with Empirically Determined Weights"
Recommender system for food pairing
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