Latent Semantic Analysis at CU

Near Neighbors

This interface allows you to select a set of n near neighbor terms based on a submitted term or piece of text (pseudodoc). The terms returned are those in the LSA space which are nearest the submitted term or pseudodoc.

At the end of the return page is a text list of the return items to cut and paste into other applications if you like.

To try the system, enter a term or piece of text in the input area below. Then press the 'Submit Text' button.

Select a topic space:

Number of terms to return:

Number of factors to use:
(Leave blank for maximum factors available.)
Remove terms from return list that appear in corpus with frequency less than (<=):

Select the type of input text:
Note: By selecting term no weighting is used. Selecting pseudodoc uses log entropy weighting.

Text to submit:

Select a topic space:

Number of terms to return:
Number of factors to use:		(Leave blank for maximum factors available.)
Remove terms from return list that appear in corpus with frequency less than (<=):
Select the type of input text:
Note: By selecting term no weighting is used. Selecting pseudodoc uses log entropy weighting.