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by magicalhippo
2193 days ago
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Latent semantic indexing[1] uses SVD to identify relationships between words in unstructured text. You can use it to search for words and find related texts even though those texts do not contain the actual words you searched for. Or you can use it to find similar texts, even though important words may differ. Not sure how relevant LSI is these days, not my field at all, but mapping words to vector spaces and using SVD like this kinda blew my mind a bit when I stumbled upon it many years ago. [1]: https://en.wikipedia.org/wiki/Latent_semantic_analysis#Mathe... |
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