There are 0 repository under public-opinion topic.
Materials for "Public Opinion, Political Psychology, and Citizenship"
A Vercel REST API to serve tweets for specific tickers for Investify Sentiment Analysis.
This repo contains the code needed to reproduce the article "On Volatility and Parties’ Potential for Growth in Multiparty Systems: The Case of the 2022 Quebec Election".
Visualizations showing what the Swiss are concerned about over the years using data from the CS Worry Barometer by gfs.bern
Replication files for my project "Political Surveys Bias Voters' Self-Reported Economic Perceptions".
Psychometric techniques, including functions to analyze dichotomous variables, and applied examples of factor analysis and discriminant analysis. Produced within the classes "Principles and Methods of Measurement" and "Public Opinion", both taught at the University of Chicago in the Spring of 2021.
Replication syntax for Öney Ardag 2021 Democratization
Twitter based Sentiment Analysis of Political Parties. This project uses sentiment analysis to evaluate public and political sentiment on social media in India, providing insights through a dashboard for better understanding of political dynamics and informed decision-making.
Binary and multi-class NLP classification project that analyzes sentiment from tweets about Apple and Google to recommend improvements on brand perception and product improvements for Apple.
Understand the public opinion regarding AI
Code to reproduce "Issue Alignment and Partisanship in the American Public"
📈 ICG toolbox for R - Indice de Confianza en el Gobierno 🇦🇷 (Universidad Torcuato Di Tella)
本项目旨在设立一个网站,用于测评**的地方人大代表和全国人大代表。该网站将会拥有以下功能:查看所有人大代表的身份信息、网页民意支持率、网友评论、所做出的提案及其支持率和评论;对人大代表和提案进行评测;发布自己的提案等。
This repository contains the data, code, and supplementary material for the paper "Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion" by Leah von der Heyde, Anna-Carolina Haensch, and Alexander Wenz, available at https://doi.org/10.31235/osf.io/8je9g
This repository contains information on the analysis for "Beyond the Wire: US Military Deployments and Host Country Public Opinion"
🧍 A concept programming structure for automated opinions using public sentiment to sort words.
This project applies machine learning to predict sentiment in YouTube comments on a controversial video about "The Chosen" series. We built a Naive Bayes model that achieved 82% accuracy in distinguishing for/against sentiments. Using ANOVA, we found significant differences in engagement between these sentiments, providing insights into on opinions