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bernardosulzbach avatar bernardosulzbach commented on June 23, 2024

I could also have a running window of len(word) letters over the doc and match against that, which should work but seems terribly inefficient.

How big is the document? This shouldn't be THAT slow.

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gurgeh avatar gurgeh commented on June 23, 2024

In practice I can go with the running window, I just wondered

  1. Is there a better way? (OK, so probably not then)
  2. Is this a feature that you think suits this module? Are you interested in a pull request?

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josegonzalez avatar josegonzalez commented on June 23, 2024
  1. Probably not.
  2. Yes, in a separate module, with tests.

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harrisniall avatar harrisniall commented on June 23, 2024

Speaking generally, it probably depends how often you intend to do this. If you have a lot of documents it may be worth looking into a bag-of-words approach using TF-IDF to index n-grams and search your documents. This would account for garbled text and misspellings (e.g. a search for "schwarzeneger" should yield the correct "schwarzenegger" ).

There are a number of modules in python that would allow you to do this, some more suitable than others depending on your application. For example, whoosh seems to have a number of features that allow you to do what you describe above.

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