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.
**关键词**：深度学习、网络爬虫、前后端开发、NLP、transformers、Flask
**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
1. Install the necessary environment dependencies (optional):
```bash
conda install --file requirements.txt
```
2. Configure your MySQL database:
- Run `createTables.sql` to set up the required tables.
- Modify the MySQL configuration in the program accordingly.