I'm building an application that searches for queries in OCR data. My documents are numerous and have many pages.

I'm using Wmd Similarity to query my data with gensim

instance = WmdSimilarity(text_data_preproc, model, num_best=10)

Given that I'm working with a large dataset of OCR data from documents, what should be fed into this function to get better results among the following options?

  • The text each page only (one page at time)
  • The text of the full document
  • The text of all documents togheter

I'm using GloVe as my model.


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