Latent Semantic Indexing

Latent semantic indexing (LSI) is an indexing and retrieval method that uses a mathematical technique called singular value decomposition (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text.

Example

documents = [
    'Shipment of gold damaged in a fire.',
    'Delivery of silver arrived in a silver truck.',
    'Shipment of gold arrived in a truck.'
]
q = 'gold silver truck'

lsi = LSI(documents, q)
ranking = lsi.process()

print(ranking)

Result:

[2, 1, 3]

References

1. SVD and LSI Tutorial 4: Latent Semantic Indexing (LSI) How-to Calculations