diff --git a/README.md b/README.md index fd13ee8..6dd305f 100644 --- a/README.md +++ b/README.md @@ -37,13 +37,13 @@ In order to give a **_WDS_score_** to a document, the WDS computes several subsc | Subcore | Based on | Scale | |---|---|---| | language_score | ratio of [alphabetic characters](#glossary) in the correct language vs. total characters | 0 - 10 | -| long_segments_score | amount of long segments (alphabetic characters) | 0 - 1 | -| superlong_segments_score | length of superlong text segments | 0 - 1 | | urls_score | ratio of URLs vs. total segments | 0 - 1 | -| numbers_score | ratio of [numeric characters](#glossary) vs. alphabetic characters| 0 - 1 | | punctuation_score | ratio of [punctuation characters](#glossary) vs. alphabetic characters| 0 - 1 | | singular_chars_score | ratio of [singular characters](#glossary) (emojis, non word punctuation, separators, etc.) vs. alphabetic characters | 0 - 1 | +| numbers_score | ratio of [numeric characters](#glossary) vs. alphabetic characters| 0 - 1 | | repeated_score | ratio of repeated segments | 0 - 1 | +| long_segments_score | amount of long segments (alphabetic characters) | 0 - 1 | +| superlong_segments_score | length of superlong text segments | 0 - 1 | All scores are in **rescaled to a 0-10 base in the final outputs**. @@ -101,13 +101,13 @@ From this document, we get these subscores: | Subcores | Value | |---|---| | language_score | 9.9 | -| long_segments_score | 0.4 | -| superlong_segments_score | 1.0 | | url_score | 1.0 | | punctuation_score | 1.0 | | singular_chars_score | 1.0 | | numbers_score | 0.92 | | repeated_score | 0.96 | +| long_segments_score | 0.4 | +| superlong_segments_score | 1.0 | As explained in the section above, the **_WDS_score_** of the document is computed by using these subscores values: @@ -156,13 +156,13 @@ We compute the subscores: | Subscore | Value | |---|---| | language_score | 8.0 | -| long_segments_score | 0.1 | -| superlong_segments_score | 0.0 | | url_score | 0.44 | | punctuation_score | 0.9 | | singular_chars_score | 1 | | numbers_score | 0.56 | | repeated_score | 1 | +| long_segments_score | 0.1 | +| superlong_segments_score | 0.0 | This text seems to be mostly made of short segments (note the very low values for _long_segments_score_ and _superlong_segments_score_) and, according to the language identifier, with a part of the segments not in the document language. Because of this, the basic score is already low: