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@scriptollc/sbd
Advanced tools
Split text into sentences with Sentence Boundary Detection (SBD).
Split text into sentences with a vanilla
rule based approach (i.e working ~95% of the time).
Use npm:
$ npm install sbd
var tokenizer = require('sbd');
var text = "On Jan. 20, former Sen. Barack Obama became the 44th President of the U.S. Millions attended the Inauguration.";
var sentences = tokenizer.sentences(text, optional_options);
// [
// 'On Jan. 20, former Sen. Barack Obama became the 44th President of the U.S.',
// 'Millions attended the Inauguration.',
// ]
var options = {
"newline_boundaries" : false,
"html_boundaries" : false,
"sanitize" : false,
"allowed_tags" : false,
"preserve_whitespace" : false,
"abbreviations" : null
};
newline_boundaries
, force sentence split at newlineshtml_boundaries
, force sentence split at specific tags (br, and closing p, div, ul, ol)sanitize
: If you don't expect nor want html in your text.allowed_tags
: To sanitize html, the library santize-html is used. You can pass the allowed tags option.preserve_whitespace
: Preserve the literal whitespace between words and sentences (otherwise, internal spaces are normalized to a single space char, and inter-sentence whitespace is omitted). Preserve whitespace has no effect if either newline_boundaries or html_boundaries is specified.abbreviations
: list of abbreviations to override the original ones for use with other languages. Don't put dots in abbreviations.You can run unit tests with npm test
.
If you feel something is missing, you can open an issue stating the problem sentence and desired result. If code is unclear give me a @mention. Pull requests are welcome.
npm install -g browserify
npm run-script build
FAQs
Split text into sentences with Sentence Boundary Detection (SBD).
We found that @scriptollc/sbd demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 5 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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