Document key information extraction to form a knowledge graph: Based on the NLP algorithm to extract key information of the text content to generate an information graph (including pyltp installation and use tutorial)
1. Project introduction
Goal: Input a document, extract key information from the document, structure it, and finally organize it into a map organization form, forming a map display of the semantic information of the article.
How to best semantically represent the input text content in a graph and structured way, that is, in a concise way, is a difficult problem. This project will try to solve this problem by inputting a document, extracting key information from the document, structuring it, and finally organizing it into a map organization form to form a map display of the semantic information of the article.
Show results:
See the project link and code source at the end of the article:
2. Related dependency installation
2.1 Anaconda installation tutorial
It is still necessary to install an Anaconda for environmental isolation. Although some deep learning frameworks are not used, the subsequent improvement algorithm process will be used here to remind you.
For specific tutorials and pit avoidance articles, see: