State-of-the-art count-based word embeddings for low-resource languages.
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Updated
Nov 13, 2025 - Python
State-of-the-art count-based word embeddings for low-resource languages.
Sentiment analysis, paired with collocation extraction using PMI & co-occurrence methods to extract insights from a large Amazon reviews dataset.
Recommender system for food pairing
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"
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