graph builder from text
Project description
Text2Graph
🌐 Languages: 中文
📚 Table of Contents
🚀 Features
- Build graphs from concept lists or raw text
- Customizable sliding window size and PMI threshold
- Returns graph data with nodes, edges, and PMI scores
🔧 Installation
pip install -e .
🧠 Usage
Build from Concept List
from text2graph.graph_builder import GraphBuilder
builder = GraphBuilder(window_size=5, pmi_threshold=0.1)
concepts = ['人工智能', '机器学习', '神经网络', '深度学习', '人工智能', '大模型', '神经网络']
nodes, edges, pmis = builder.build_graph(concepts)
Build from Text
from text2graph.graph_builder import GraphBuilder
builder = GraphBuilder(window_size=5, pmi_threshold=0.1)
text = '\n'.join(['人工智能', '机器学习', '神经网络', '深度学习', '人工智能', '大模型', '神经网络'])
data = builder.build_graph_from_text(text)
nodes = data['nodes']
edges = data['edges']
pmis = data['pmis']
📦 Output Format
nodes: List of unique conceptsedges: List of tuples (concept1, concept2)pmis: List of PMI scores corresponding to each edge
✅ Testing
python -m unittest
For Developers
setup docker env
docker build -t text2graph -f docker/Dockerfile .
docker run -it --rm --name text2graph -v .\:/code text2graph bash
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