How word association mining is generalization of n-gram language model

Question

I am working on text mining (reading book...) author said word association mining is actually the generalization of n-gram language model Can you please tell how word association mining is generalization of n-gram language model. For Me word association mining is finding symptomatic relation (finding co-occurring) words and n-gram language model is compare all n-words in query to suggest or return relevant documents.

score 1 · Accepted Answer · answered Aug 01 '18 at 18:51

1

Association rule mining will try to cover frequent concurrences of arbitrary length.

If you apply this (not just two term correlations) to text, you would indeed find n-grams without a fixed n.

answered Aug 01 '18 at 18:51

Has QUIT--Anony-Mousse

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Association mining is finding co-occurring expression (rather terms) or arbitrary length. Thank you I understood it. – Waseem Ahmad Naeem Aug 02 '18 at 05:22

How word association mining is generalization of n-gram language model

1 Answers1