title: Tf-idf with large or small corpus size
body: <p>&quot;An essence of using Tf-Idf method with large corpuses is, the larger size of corpuses used is, the more unique weights terms have. This is because of the increasing of documents size in corpus or documents length gives a lower probability of duplicating a weight value for two terms in corpus. That is, the weights in Tf-Idf scheme can present a fingerprint for weights. Where in low size corpus, Tf-Idf can’t make that difference since there is huge potential of finding two terms having the same weights since they share the same source documents with the same frequency in each document. This feature can be an adversary and supporter by using Tf-Idf weighting scheme in plagiarism detection field, depending on the corpus size.&quot;</p>
  <p>This is what I have deduced from tf-idf technique .. is it true?</p>
  <p>Are there any link or documents can prove my conclusion؟</p>