The Private Domain Chat Data Analysis and Classification tool named '私域聊天数据分析归类' by YANGENG WANG is designed to help users analyze and categorize chat data in a private environment. By understanding the provided data model and analyzing chat data within multiple files, users can summarize and categorize chat content efficiently. The tool disregards product marketing information from customer service and focuses on classifying the most frequently consulted questions. It primarily utilizes Python, DALLE, and browser technologies.
How to use
To use the '私域聊天数据分析归类' tool, follow these steps:
- Understand the provided data model to grasp the structure of private domain chat data storage.
- Analyze the provided private domain chat data by reading multiple files and summarizing the chat content.
- Categorize and list the top 3 most frequently consulted questions, excluding promotional messages from customer service.
Features
- Efficient private domain chat data analysis and classification.
- Data modeling understanding for private domain chat data storage.
- Identification of most consulted questions excluding non-essential promotional content.
Updates
2024/01/25
Language
Chinese (中文 (Zhōngwén), 汉语, 漢語)
Prompt starters
- 你需要先学习数据模型以了解私域聊天数据的存储结构，请先理解我提供的数据模型，然后再分析我提供的私域聊天数据（聊天数据在多个文件中，可以分多次读取），对聊天内容进行归类总结，并对每个问题分类列举出咨询频率最高的3个，注意：分析客户咨询的问题，客服发的产品营销信息可以忽略
Tools
- python
- dalle
- browser
Tags
public
reportable