lisc.analysis.counts.compute_normalization¶
- lisc.analysis.counts.compute_normalization(data, counts, dim='A')[source]¶
Compute a normalization of the co-occurrence data.
- Parameters
- data2d array
Counts of co-occurrence of terms.
- counts1d array
Counts for each individual search term.
- dim{‘A’, ‘B’}, optional
Which set of terms to normalize by. ‘A’ is equivalent to normalizing by rows values, ‘B’ to column values.
- Returns
- out2d array
The normalized co-occurrence data.
Notes
This computes a normalized data matrix as a percent of articles expressing co-occurrence.
