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0463757273
- add new form field for http port with internationalized labels and descriptions - map the configured port to the container's internal port 8080 in docker-compose - update the comfig.yml file
26 lines
1.6 KiB
Markdown
26 lines
1.6 KiB
Markdown
## Configuration and Usage Instructions
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After installing the application, please go to `application installation directory/config/config.yaml` to configure the remaining parameters.
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After installing the application, please navigate to `application installation directory/config/frequency_words.txt` to configure the hot keywords you care about.
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> [Keyword Configuration](https://github.com/sansan0/TrendRadar/blob/master/README-EN.md#2-keyword-configuration)
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Web Service: After entering the container, execute `python manage.py start_webserver` to start the service.
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## Introduction
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Simple public opinion monitoring and analysis - multi-platform hotspots aggregation + AI analysis tool based on MCP.
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> Does not integrate AI by default, MCP service needs to be installed separately.
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## Features
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- **Aggregation of Hotspots Across the Network**: By default, monitors 11 major platforms such as Zhihu, Douyin, Bilibili, etc., and additional platforms can also be added manually;
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- **Intelligent Push Strategy**: Supports three push modes: daily summary, current ranking, and incremental monitoring;
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- **Precise Content Filtering**: Set personal keywords, only push relevant hotspots, filter irrelevant information;
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- **Trend Analysis**: Real-time tracking of news popularity changes;
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- **Personalized Hotspot Algorithm**: TrendRadar's proprietary weighted algorithm;
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- **Multi-channel Real-time Push**: Supports WeCom (+ WeChat), Lark, DingTalk, Telegram, email, ntfy, and other push channels;
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- **AI Intelligent Analysis**: Requires additional deployment of MCP service, refer to [documentation](https://github.com/sansan0/TrendRadar#-ai-%E6%99%BA%E8%83%BD%E5%88%86%E6%9E%90)
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