The ABC of Computational Text Analysis. BA Seminar, Spring 2022, University of Lucerne
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Updated
Feb 17, 2023 - HTML
The ABC of Computational Text Analysis. BA Seminar, Spring 2022, University of Lucerne
Course Project in Computational Social Science Course at HfP/TUM
This project leverages the Spotify API to conduct sentiment analysis, uncovering the emotional trends within music selections.
A project to make available in a digital format and analyze computationally the data pertaining to the early history of Sufism (3rd-4th/9th-10th centuries).
The ABC of Computational Text Analysis. BA Seminar, Spring 2021, University of Lucerne
Materials for the day 4 of the course on "Topics in Digital and Computational Demography" on Using large-scale bibliometric data for demographic research; Advantages and pitfalls of using Scopus data to trace internal and international scholarly migration worldwide, Instructor: Aliakbar Akbaritabar
Materials for the day 4 of the course on "Topics in Digital and Computational Demography" on Using large-scale bibliometric data for demographic research; Advantages and pitfalls of using Scopus data to trace internal and international scholarly migration worldwide, Instructor: Aliakbar Akbaritabar
Tie formation mechanisms in social networks; Network analysis; an introduction (with igraph in R)
Resources for ACL'24 paper on 'A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech'
Replication Code for 2023 study "How far I’ll go: Social infrastructure accessibility and proximity in urban neighborhoods", published in Landscape and Urban Planning
Machine Learning aplicado a las Ciencias Sociales
Special repository hosting the InPhyT website.
Ten week workshop series for social scientists to learn R and related tools in Computational Social Science
Repository for Computational Political Science course at Zeppelin University
A d3 visualization of the emergence of online echo chambers.
This repository holds all files to render the hugo website via Netlify for the ESCALATOR project
Our aim is to explore the Behavior Modality. This involves explaining, predicting, and optimizing human behavior in the real world, especially from the context of marketing, advertising, and computational social science. Applications include targeting, personalization, recommendation, marketing content generation, etc.
Supplementary materials for McLevey 2021 Doing Computational Social Science (Sage, UK).
Notebooks for the Seattle PyData 2017 talk on Scattertext
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