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
- 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.
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Install the necessary environment dependencies (optional):
conda install --file requirements.txt
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Configure your MySQL database:
- Run
createTables.sql
to set up the required tables. - Modify the MySQL configuration in the program accordingly.
- Run
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Start the project with Flask:
python app.py