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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)

Mikael Brunila's Projects

airbnb-place-ner icon airbnb-place-ner

Data and models to extract toponyms and spatio-temporal entities from text data.

css_programming icon css_programming

Python scripts written during the course "Programming in Social Science" at the University of Helsinki.

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Presentation in the working group on 'The Digitalization of Societies & Methods' at the Finnish Sociology Days. Scraping & mapping data from Twitter and Facebook with R, Python, Open Refine & CartoDB.

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This is my final project for a GIS class at Columbia, exploring the relationship between tweeting and gentrification.

muxviz icon muxviz

Analysis and Visualization of Interconnected Multilayer Networks

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Information theory in NLP for people without a Math background

nlp-keras-text-summarizer icon nlp-keras-text-summarizer

Text summariser written using Keras and TensorFlow for the NLP class of Professor Kathy McKeown at Columbia University.

nlp-sentiment-analysis-keras icon nlp-sentiment-analysis-keras

A very rudimentary homework assignment in using Keras for Sentiment Analysis. Part of the NLP class at the Columbia DSI.

nlp-tweet-classifier icon nlp-tweet-classifier

Some Python scripts for classifying tweets as either Democratic or Republican. Homework assignment in the NLP class by Kathy Mckeown at Columbia Uni.

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Homework assignments for the data visualization class at the Columbia University QMSS program.

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Lab assignments for the Social Network Analysis class at the Columbia QMSS program in the spring of 2018.

transformers_ner icon transformers_ner

Add CRF or LSTM+CRF for huggingface transformers bert to perform better on NER task. It is very simple to use and very convenient to customize

tweetstopicmodelsgis icon tweetstopicmodelsgis

This data mining project for Columbia uses LDA topic modelling to map tweets in New York.

wmd-relax icon wmd-relax

Calculates Word Mover's Distance Insanely Fast

wmdecompose icon wmdecompose

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

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