text mining - Ranking keywords in a doc -


i have requirement of ranking keywords in document. have 1 document, dont know how tf-idf help. rank keywords based on proximity , relevance document, know if use term vector this, , if yes how?

thanks

in general, obtain "proximity" between several document using terms or terms using several documents, use latent semantic space --- latent semantic analysis here.

however given have 1 document, cannot that, because have no reference. it's trying find how many standard deviations away mean value of interest located, have single number. 1 way solve this, obtain new data, if topics of document isn't obscure try scraping information off internet.

if isn't looking for, perhaps may explain problem more desired outcome rather method think may applicable here.

cheers


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