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Analytics web app in Shiny using data from Uber and MTA.
Some Python scripts for classifying tweets as either Democratic or Republican. Homework assignment in the NLP class by Kathy Mckeown at Columbia Uni.
This is my final project for a GIS class at Columbia, exploring the relationship between tweeting and gentrification.
This data mining project for Columbia uses LDA topic modelling to map tweets in New York.
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.
A very rudimentary homework assignment in using Keras for Sentiment Analysis. Part of the NLP class at the Columbia DSI.
130 contributions in the last year
in private repositories
Nov 1 – Nov 4
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