Python builds a question-answering system for Jingdong Mall based on knowledge graph-directory

Below is the web page of the program

This system mainly uses the following knowledge:

• Web Crawler
• natural language processing
• knowledge map
• graph database
• machine learning

Next, based on the business logic, we will start with the following questions to introduce the entire construction process:

Python builds a question answering system for Jingdong Mall based on knowledge graph-system logic introduction

Python builds a question answering system for Jingdong Mall based on knowledge graph-experimental environment and experimental data preparation

Python builds a question answering system for Jingdong Mall based on knowledge graph-user question preprocessing

Python builds a question answering system for Jingdong Mall based on knowledge graphs - answer acquisition

Reference article:

The installation and start of Neo4j

300 lines of python code to build a movie question answering system based on knowledge graph from scratch

 IrvingBei/chatbot_with_IR: chatbot_with_IR is a simple Q&A system built using search engines (github.com)