Examples

All examples live in the examples/ folder of the repository.

File	What it shows	Requirements
example.ipynb	Executed notebook: extraction, network construction, exploration, LOAD/EVELIN ranking, CIEN edge clustering, export	none (offline gazetteer)
example.py	End-to-end script with spaCy NER, provenance, clustering and plotting	spacy extra + en_core_web_sm, viz extra for the plot
example_plot.py	Renders the documentation figure: curated gazetteer with alias merging, plot_network with legend and label placement	viz extra
example_gliner.py	Zero-shot entity types with GLiNER v2.5	gliner extra (downloads a checkpoint)
example_data.csv	The bundled example corpus (also available via load_example_corpus())

Minimal end-to-end script

from implicit_word_network import Corpus, SpacyEntityExtractor, ImplicitNetworkPipeline

corpus = Corpus.from_txt("documents.txt")
network = ImplicitNetworkPipeline(SpacyEntityExtractor(), window=2).run(corpus, show_progress=True)

print(network.summary())
for edge in network.edges(top_k=10):
    print(f"{edge.weight:6.2f}  {edge.source.text} -- {edge.target.text}")

network.save("network.npz")

Benchmarks

The benchmarks/ folder contains a synthetic corpus generator and scripts to time network construction and to compare with the original 0.0.x implementation; see Performance & Scaling.