dadasmash Goto Github PK

arph-did-example

https://github.com/hollina/arph-did-example

aspect_based_sentiment_analysis_covid19

Code and Data for the paper "On the Use of Aspect-Based Sentiment Analysis of Twitter Data to Explore the Experiences of African Americans During COVID-19"

bert

TensorFlow code and pre-trained models for BERT

brahmin_replication

This is the replication package for our I4R Discussion Paper "Replication Report: A Comment on Gethin, Martínez- Toledano & Piketty (2022)"

china_covid_risk_level_dataset

China COVID Risk Level Dataset

covid-19-tweets

Covid-19 tweets

covid-19-us-state-policy-database

https://github.com/USCOVIDpolicy/COVID-19-US-State-Policy-Database

covid-twitter-bert

Pretrained BERT model for analysing COVID-19 Twitter data

crowdbreaks-paper

Material related to paper "Crowdbreaks: Tracking Health Trends using Public Social Media Data and Crowdsourcing"

dagong.github.io

Da Gong's Website. Da Gong is a Ph.D. Candidate in Economics at UC Riverside. Email: [email protected]. The source code is adopted from Github Pages template for academic personal websites (academicpages.github.io), forked from mmistakes/minimal-mistakes

data-analysis

Data Analysis for Economics

delphi-epidata

This website contain codbook of the CMU CMU_COVID-19 Trends and Impact Surveys

econ-490-fall-2020---ml-in-econ-r

gov2002-book

Course notes for part of Gov 2002 at Harvard

gradquant

This is the code and slides for my presentations at Graduate Quantitative Methods Center workshops (GradQuant) at UC Riverside.

lijiaqi

lost-stats.github.io

Source code for the Library of Statistical Techniques. Including stagger DID approach: https://lost-stats.github.io/Model_Estimation/Research_Design/event_study.html

machine-learning-in-economics

An introductory course on machine learning in economics

models

Models and examples built with TensorFlow

pandemic_nlp

This repo contains code for a Natural Language Processing project to explore and understand differences in official communications between Governor Cuomo and Mayor de Blasio during the Covid-19 pandemic. Methods include web scraping, parts of speech analysis, topic modeling, and sentiment analysis.

plsc-40601-ci-ml

Advanced Topics in Causal Inference PLSC 40601

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

telling_stories

Telling Stories with Data

test

vaccine-sentiment

The code that accompanies the paper: Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control