This article introduces an innovative election analysis system based on the Reddit platform, which uses artificial intelligence technology to track and analyze the public opinion trends of 2024 US presidential election candidates Trump and Harris in real time. The system captures Reddit-related discussions every 10 minutes, filters out liked and recently published posts for sentiment analysis, and uses OpenAI's GPT-4-turbo model for quantitative scoring, and finally generates the overall score of candidates and visually displays them. The system adopts advanced technical architecture and has multiple guarantees to ensure system reliability, provide a user-friendly interface and convenient access methods, and is currently open source.
Recently, an innovative selection analysis system based on Reddit social platform has attracted attention. The system uses artificial intelligence technology to track and analyze the public opinion trends of 2024 U.S. presidential election candidates Donald Trump and Kamala Harris in real time.
The analysis system uses an automated method to capture related discussions from the Reddit platform every 10 minutes. The system focuses on content with certain influence and only selects posts with a publication time of more than 10 likes within 1 hour. To ensure the timeliness of data, the system always keeps the latest 50 posts for analysis.
In the sentiment analysis stage, the system calls OpenAI's GPT-4-turbo model, conducts in-depth analysis of each post, and gives a quantitative score of 0-100. These scores are updated to the database in a timely manner through the callback mechanism. The system will score the candidates as a whole hourly, calculate the average emotional score based on the latest 50 posts, and keep a score record for each candidate's last 100 time points.
Highlights of technological innovationThe system adopts a number of advanced solutions in its technical architecture:
Using QStash to handle task scheduling and callbacks, use Upstash Redis as the data storage system to integrate OpenAI's latest language model technology.To ensure system reliability, the development team implemented multiple safeguards:
Design a failed retry mechanism and use a callback mechanism to ensure consistency of score updates. A reasonable data retention strategy is developed. User-friendly visual interface.The system provides an intuitive data visualization interface, including:
Dynamic line chart display candidate support trends Latest post content displays real-time Reddit original post links Quick accessThe project is currently open source. Interested users can experience its functions through the online demonstration system (https://elections-sentiment-analysis.vercel.app/), and developers can use GitHub (https://github.com/ upstash/elections-sentiment-analysis) participate in project development. This innovative system provides new technical ideas for election analysis and demonstrates the application potential of artificial intelligence in the field of political public opinion analysis.
This system provides a novel technical method for election prediction, and its open source characteristics also promote technical exchanges and cooperation, providing new possibilities for future political public opinion analysis. By combining artificial intelligence and social media data, the system improves analysis efficiency and accuracy while also providing the public with a more convenient way to obtain information.