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A Python implementation of Word Mover's Distance that decomposes document level WMD into word level WMD for interpretable sociocultural NLP.

Home Page: https://github.com/maybemkl/wmdecompose

License: MIT License

Jupyter Notebook 95.95% Python 4.05%
word2vec natural-language-processing computational-social-science digital-humanities word-movers-distance interpretable-models emnlp

wmdecompose's Introduction

Hello! 👋

I am a Ph.D. Candidate with the Platial Analysis and Urban Politics and Governance labs at McGill University. My primary interests are two-fold. 1️⃣ I work on the application of statistical methods in general and natural language processing in particular to complex social problems. 2️⃣ I am investigating the epistemological and historical foundations of natural language processing and large-language modeling, from the postwar cybernetics movement to contemporary practices.

Some of my projects and publications include:

  • 🗺️ Private-information retrieval (PIR) tile-serving and NLP for Drift Maps
  • 🏙️ Data-driven analyses on rental market financialization (JAPA) and the linguistic markers of gentrification (EMNLP, GIScience)
  • 📖 Genealogical and critical work on the epistemological foundations of distributional semantics (NAACL)

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