Introduction

This project consists of two tasks, totaling four questions:

• Task 1 : Data Preprocessing and Analysis

1. Data Preprocessing - Noise Removal
2. Data Analysis - Text Knowledge Mining

• Task 2 : Application of Knowledge Graph

3. Constructing a Knowledge Graph
4. Knowledge-Driven Financial Analysis

Environment

python==3.10.12
pandas==1.5.3
matplotlib==3.7.1
numpy==1.23.5
openyxl==3.1.2
scipy==1.11.3
scikit-learn==1.2.2
torch==2.1.0+cu118
tqdm==4.66.1
py2neo==2021.2.4

Directory structure

├── ReadMe.md           // help file

├── requiremnet.txt    // Environment

├── code             

│   ├── data_mining.ipynb    

│   ├── knowledge_graph.ipynb     

├── result             // report and excel in this file

└── model                // trained model and information of training

Instructions

Version update

v1.0.0: