Description: Terms that are extracted from sampled records are filtered by their precision p where p = number of sampled records that this term is tagged onto divided by the number of all sampled records. Terms that have too high a value of p are likely to be the search term or be synonymous with it or be too general to make for a good clustering term. If you use the recommended tuning values of the term extractor, each term is tagged to only roughly 1/3 of the records that contain this term in the text, which means that the search term, if present, has p of roughly 0.33 - more or less stringent tuning of the term extractor changes this value. There usually is a gap in the values of p between the search term and the more useful terms, which start at approximately p = 0.25 and less.

Range: Float, 0.0 - 1.0 (default: 1.0)

Recommended value: 0.25