This repository is about a computational social science project on Beer reviews.
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Updated
Dec 10, 2016 - Jupyter Notebook
This repository is about a computational social science project on Beer reviews.
NLP Toolkit for Social Science (NTSS)
This is a project about Computational Social Science, including three parts: aggregate model, agent-based model, and data-driven approaches. We will categorize series of paper, researches, and projects here.
Master Seminar: Computational Social Science
Notebooks for the Seattle PyData 2017 talk on Scattertext
Repository for the Groundwater Commons Game (GCG)
Ten week workshop series for social scientists to learn R and related tools in Computational Social Science
Deep Neural Network model to predict security perception from Google Street View images. Model based on AlexNet CNNs
Repository for the article "When Sheep Shop: Measuring Herding Effects in Product Ratings with Natural Experiments" published at WWW2018
Scripts used for development of my Master's Thesis "Analyzing Twitter data to discover gender biases in Spanish politics" at Universitat Politècnica de Catalunya and Barcelona Institute of International Studies
"Knowledge transfer in StackOverflow", a CSS seminar project by TUM students
2018 Computational Text Analysis Notebooks, University of Mannheim
An analysis of the cultural perception of science, using NLP techniques and big data.
Named entity recognition using structured learning
Browser plug-in for computational observation
Programming materials for Prof. Paul Smaldino's COGS 122 course at the University of California, Merced.
Academic paper reviews & publication presentations for the UofT Computational Social Science course
A project exploiting GDPR legislation to uncover the state of consumer data privacy in 2019.
Real-time retrieval of tweets and periodic updates of their feedback. Used for analysis of the effects of feedback on Spanish politicians.
This is a short notebook outlining the code used to scrape tweets related to the IC2S2 conference in Amsterdam.
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