README.md



Weibo Public Opinion Analysis System

This project is a Social Network Public Opinion Analysis System designed for monitoring, analyzing, and predicting public opinion trends using data from social media platforms such as Weibo.

Keywords: Deep Learning, Web Scraping, Full-Stack Development, Natural Language Processing (NLP), Transformers, Flask, Sentiment Analysis, Topic Classification, Data Visualization, Real-time Monitoring, Machine Learning


Features


Real-time Data Collection: Scrapes and processes data from social platforms.

Data Cleaning & Processing: Cleans and processes collected data for analysis.

Topic Classification: Categorizes posts and comments into relevant topics using machine learning.

Sentiment Analysis: Detects emotional tone (positive, neutral, or negative) in text.

Trend Prediction: Predicts future trends in public opinion based on historical data.


Installation & Setup


Install the necessary environment dependencies (optional):


   conda install --file requirements.txt


Configure your MySQL database:


Run createTables.sql to set up the required tables.
Modify the MySQL configuration in the program accordingly.


Start the project with Flask:


   python app.py