Public Opinion Mining System of Taiwanese Forums

Materials for "Public Opinion, Political Psychology, and Citizenship"

Multi-agent Uncertainty Resolution Machine: predict public opinion with local-first swarm intelligence

A Vercel REST API to serve tweets for specific tickers for Investify Sentiment Analysis.

Visualizations showing what the Swiss are concerned about over the years using data from the CS Worry Barometer by gfs.bern

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.

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".

Replication files for my project "Political Surveys Bias Voters' Self-Reported Economic Perceptions".

🔥 轻量级多Agent舆情分析工具，零配置开箱即用，比BettaFish轻10倍！

A multi-agent public opinion analysis system. It scrapes Reddit & Twitter, analyzes sentiment, and uses a Critic-Synthesis debate loop to uncover what the internet actually thinks.

Python implementation of a toolkit for researchers studying electoral polarization. Features ideological and affective polarization analysis, issue salience modeling, and comprehensive statistical validation following Ginzburg's (2024) framework. Jupyter Notebook based.

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

Analysis of public attitudes toward AI using Pew Research (Wave 99). Crosstabs by age and education with visualizations.

Code to reproduce "Issue Alignment and Partisanship in the American Public"

[Telematics and Informatics '24] Excitements and Concerns in the Post-ChatGPT Era: Deciphering Public Perception of AI through Social Media Analysis

本项目旨在设立一个网站，用于测评中国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 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

R code and data for my UCLA honors thesis analyzing how policy type affects democratic responsiveness across U.S. states using MRP.

This repository contains information on the analysis for "Beyond the Wire: US Military Deployments and Host Country Public Opinion"

Bayesian analysis of mass ideology in Germany (1980–2021)