readme updata

-# Weibo_PublicOpinion_AnalysisSystem
-一个前后端完备、使用了机器学习算法的微博舆情分析系统
+# 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.
 
 
-**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.
+
+3. Start the project with Flask:
+
+   ```bash
+   python app.py
+   ```