suki-un
35 lines
1.3 KiB
Markdown
35 lines
1.3 KiB
Markdown
# Weibo Public Opinion Analysis System
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[English document](#) | [中文文档](./README-CN.md)
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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.
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**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
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## Features
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- **Real-time Data Collection**: Scrapes and processes data from social platforms.
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- **Data Cleaning & Processing**: Cleans and processes collected data for analysis.
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- **Topic Classification**: Categorizes posts and comments into relevant topics using machine learning.
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- **Sentiment Analysis**: Detects emotional tone (positive, neutral, or negative) in text.
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- **Trend Prediction**: Predicts future trends in public opinion based on historical data.
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## Installation & Setup
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1. Install the necessary environment dependencies (optional):
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```bash
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conda install --file requirements.txt
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```
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2. Configure your MySQL database:
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- Run `createTables.sql` to set up the required tables.
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- Modify the MySQL configuration in the program accordingly.
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3. Start the project with Flask:
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```bash
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python app.py
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```
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