Tokenizers
Whitespace
"Dot space" redirects here. For the animated film, see Dot in Space."␣" redirects here. It is not to be confused with ⌴.
In computer programming, whitespace is any character or series of characters that represent horizontal or vertical space in typography. When rendered, a whitespace character does not correspond to a visible mark, but typically does occupy an area on a page. For example, the common whitespace symbol U+0020 SPACE (also ASCII 32) represents a blank space punctuation character in text, used as a word divider in Western scripts.
Wink-tokenizer
By default, Datasaur uses the wink-tokenizer to separate text into individual tokens, which are grouped by lines of sentences.
"Wink is a family of open source packages for Statistical Analysis, Natural Language Processing and Machine Learning in NodeJS." (source: https://winkjs.org/about.html)
How does it work? It works by using pattern matching via regular expressions (regex). The list of regexes used by wink-tokenizer can be seen in detail at https://winkjs.org/wink-tokenizer/Tokenizer.html#defineConfig. In summary, it will parse the following by default:
| Name | Description |
|---|---|
currency | such as $ or £ symbols (r) |
for example john@acme.com or superman1@gmail.com (e) | |
emoji | any standard unicode emojis e.g. 😊 or 😂 or 🎉 (j) |
emoticon | common emoticons such as :-) or :D (c) |
hashtag | hash tags such as #happy or #followme (h) |
number | any integer, decimal number, fractions such as 19, 2.718 or 1/4 and numerals containing ", - / .", for example 12-12-1924 (n) |
ordinal | ordinals like 1st, 2nd, 3rd, 4th or 12th or 91st (o) |
punctuation | common punctuation such as ? or , ( token becomes fingerprint ) |
quoted_phrase | any "quoted text" in the sentence. Note: its default value is false. (q) |
symbol | for example ~ or + or & or % or / ( token becomes fingerprint ) |
time | common representation of time such as 4pm or 16:00 hours (t) |
mention | @mention as in github or twitter (m) |
url | URL such as https://github.com (u) |
word | word such as faster or résumé or prévenir (w) |
To learn more details about the regex patterns used, you can directly view the source code at https://github.com/winkjs/wink-tokenizer/blob/master/src/wink-tokenizer.js
Playground
You can play around with the tokenizer here.
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