Practical application of knowledge map 19-English word association memory knowledge map project based on Py2neo

Hello everyone, I am Weixue AI, and today I will introduce to you Knowledge Graph Practical Application 19-Py2neo-based English word association memory knowledge graph project. The Py2neo-based English word association memory knowledge map project can help users learn and memorize English words more systematically. Through the visual display and intelligent recommendation function of the map, it provides a new and more efficient memory method, and promotes the relationship between words. The understanding of relevance and the improvement of language application ability.

Table of contents

1. Background of the project
2. Project Objectives
3. data preparation
4. Import data into Neo4j
5. Knowledge graph construction based on Py2neo
6. word association recommendation
7. Result display
8. Summarize

1. Project Background

In the process of learning English, memorizing words is a basic and important task. However, traditional word memory methods, such as repeated reading and writing, making word cards, etc., are inefficient and easy to forget. To solve this problem, we propose a knowledge graph-based project for English word association memory. By constructing the association relationship between words, learners can improve memory efficiency and stability through associative memory.

The Py2neo-based English word association memory knowledge map project aims to help learners improve their vocabulary memory and comprehension by building a knowledge map of the association between words. This project can automatically build and expand the association network between words according to the input English words, and provide relevant definitions, synonyms, antonyms, roots, word meaning analysis and other information, as well as the association with other words.

The following is the detailed process of the project:

Data collection: Through various data sources (such as online dictionaries, corpora, etc.), use the Py2neo library to connect to the Neo4j graph database, and extract and store words and their associated information from these data sources. </