Public Opinion Mining System of Taiwanese Forums
A design specification for attaching representative public opinion data to viral social media posts — correcting the gap between what people think and what they think others think.
Materials for "Public Opinion, Political Psychology, and Citizenship"
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.
A Vercel REST API to serve tweets for specific tickers for Investify Sentiment Analysis.
Open-source AI news intelligence and OSINT monitoring platform for multilingual news, social media, canonical event graphs, and research workflows.
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".
🔥 轻量级多Agent舆情分析工具，零配置开箱即用，比BettaFish轻10倍！
An observatory of human belief about AGI - a permanent, version-controlled record of what people think AGI should be, rendered as an interactive 3D star map. Each take is a star.
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".
LLM-vs-digital-trace sentiment analysis project comparing electric vehicle public opinion across Reddit, news, and model-generated sentiment; selected for AAPOR 2025.
Open-source social listening and public opinion early-warning toolkit.
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.
Real-time X/Twitter trend and public opinion analysis agent using LangGraph, LangChain, FastAPI, LangServe, and RAG.
Korean National Pension text-mining study using Naver crawling, sentiment analysis, LDA topic modeling, and time-series analysis.
OpenThemis · Themis 舆情分析系统 — AI 舆情分析（多渠道采集 / 情感研判 / 话题趋势看板）
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.
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"
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