Microsoft.Recognizers.Text for JavaScript

Getting Started

Recognizers are organized into groups and designed to be used in C#, Node.js, Python and Java to help you build great applications! To use the samples, install the recognizers-text-suite package, or clone our GitHub repository using Git.

Cloning and building the Repository

git clone https://github.com/Microsoft/Recognizers-Text.git
cd Recognizers-Text

You can choose between build the solution manually or through an automatized build.cmd file.

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Open a terminal and run the following commands:

cd JavaScript
npm install
npm run build
npm run test

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Launch Build.cmd file.

Installation from NPM

-- Note: the initial versions of the packages are available with the @preview tag. --

Install all the Recognizer's by launching the following command:

* Get all the Recognizers in a single module:
npm install @microsoft/recognizers-text-suite

Or, if you prefer to use a single type of recognizer:

* Get only the numbers Recognizer's features:
npm install @microsoft/recognizers-text-number

* Get only the numbers with units Recognizer's features:
npm install @microsoft/recognizers-text-number-with-unit

* Get only the date and time Recognizer's features:
npm install @microsoft/recognizers-text-date-time

* Get only the sequence Recognizer's features:
npm install @microsoft/recognizers-text-sequence

* Get only the choice Recognizer's features:
npm install @microsoft/recognizers-text-choice

API Documentation

Once the proper package is installed, you'll need to reference the package:

```JavaScript
var Recognizers = require('@microsoft/recognizers-text-suite');
var NumberRecognizers = require('@microsoft/recognizers-text-number');
var NumberWithUnitRecognizers = require('@microsoft/recognizers-text-number-with-unit');
var DateTimeRecognizers = require('@microsoft/recognizers-text-date-time');
var SequenceRecognizers = require('@microsoft/recognizers-text-sequence');
var ChoiceRecognizers = require('@microsoft/recognizers-text-choice');
``

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This is the preferred way if you need to parse multiple inputs based on the same context (e.g.: language and options):

`JavaScript
var recognizer = new NumberRecognizers.NumberRecognizer(Recognizers.Culture.English);
var model = recognizer.getNumberModel();
var result = model.parse('Twelve');
`

Or, for less verbosity, you use the helper methods:

var result = Recognizers.recognizeNumber("Twelve", Recognizers.Culture.English);

Internally, both methods will cache the instance models to avoid extra costs.

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* Numbers

This recognizer will find any number from the input. E.g. _"I have two apples"_ will return _"2"_.

Recognizers.recognizeNumber('I have two apples', Recognizers.Culture.English)

Or you can obtain a model instance using:

new NumberRecognizers.NumberRecognizer(Recognizers.Culture.English).getNumberModel()


* Ordinal Numbers

This recognizer will find any ordinal number. E.g. _"eleventh"_ will return _"11"_.

Recognizers.recognizeOrdinal('eleventh', Recognizers.Culture.English)

Or you can obtain a model instance using:

new NumberRecognizers.NumberRecognizer(Recognizers.Culture.English).getOrdinalModel()


* Percentages

This recognizer will find any number presented as percentage. E.g. _"one hundred percents"_ will return _"100%"_.

Recognizers.recognizePercentage('one hundred percents', Recognizers.Culture.English)

Or you can obtain a model instance using:

new NumberRecognizers.NumberRecognizer(Recognizers.Culture.English).getPercentageModel()

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* Ages

This recognizer will find any age number presented. E.g. _"After ninety five years of age, perspectives change"_ will return _"95 Year"_.

Recognizers.recognizeAge('After ninety five years of age, perspectives change', Recognizers.Culture.English)

Or you can obtain a model instance using:

new NumberWithUnitRecognizers.NumberWithUnitRecognizer(Recognizers.Culture.English).getAgeModel()


* Currencies

This recognizer will find any currency presented. E.g. _"Interest expense in the 1988 third quarter was $ 75.3 million"_ will return _"75300000 Dollar"_.

Recognizers.recognizeCurrency('Interest expense in the 1988 third quarter was $ 75.3 million', Recognizers.Culture.English)

Or you can obtain a model instance using:

new NumberWithUnitRecognizers.NumberWithUnitRecognizer(Recognizers.Culture.English).getCurrencyModel()


* Dimensions

This recognizer will find any dimension presented. E.g. _"The six-mile trip to my airport hotel that had taken 20 minutes earlier in the day took more than three hours."_ will return _"6 Mile"_.

Recognizers.recognizeDimension('The six-mile trip to my airport hotel that had taken 20 minutes earlier in the day took more than three hours.', Recognizers.Culture.English)

Or you can obtain a model instance using:

new NumberWithUnitRecognizers.NumberWithUnitRecognizer(Recognizers.Culture.English).getDimensionModel()


* Temperatures

This recognizer will find any temperature presented. E.g. _"Set the temperature to 30 degrees celsius"_ will return _"30 C"_.

Recognizers.recognizeTemperature('Set the temperature to 30 degrees celsius', Recognizers.Culture.English)

Or you can obtain a model instance using:

new NumberWithUnitRecognizers.NumberWithUnitRecognizer(Recognizers.Culture.English).getTemperatureModel()

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* DateTime

This recognizer will find any date, time, duration and date/time ranges, even if its write in colloquial language. E.g. _"I'll go back 8pm today"_ will return _"2017-10-04 20:00:00"_.

Recognizers.recognizeDateTime("I'll go back 8pm today", Recognizers.Culture.English)

Or you can obtain a model instance using:

new DateTimeRecognizers.DateTimeRecognizer(Recognizers.Culture.English).getDateTimeModel()

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* Phone Numbers

This model will find any patter of symbols detected as a phone number, even if its write in coloquial language. E.g. "My phone number is 1 (877) 609-2233." will return "1 (877) 609-2233".

Recognizers.recognizePhoneNumber("My phone number is 1 (877) 609-2233.", Culture.English)

Or you can obtain a model instance using:

new SequenceRecognizers.SequenceRecognizer(Culture.English).GetPhoneNumberModel()

* IP Address

This model will find any Ipv4/Ipv6 presented.
E.g. "My Ip is 8.8.8.8".

Recognizers.recognizeIpAddress("My Ip is 8.8.8.8")

Or you can obtain a model instance using:

new SequenceRecognizers.SequenceRecognizer(Culture.English).IpAddressModel()

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* Booleans

This recognizer will find any boolean value, even if its write with emoji.
E.g. _"👌 It's ok"_ will return _"true"_.

Recognizers.recognizeBoolean("👌 It's ok", Recognizers.Culture.English)

Or you can obtain a model instance using:

new ChoiceRecognizers.ChoiceRecognizer(Recognizers.Culture.English).getBooleanModel()`

Samples

Start using recognizers!

Integration tips

The recognizers were designed to disjoint language's logic from the recognizer's core in order to grow without the obligation of change the supported platforms.

To achieve this, the recognizers contains the following folders:

* Specs - Contains all the necessary tests that should be run on any improvements to the recognizers. It's divided by recognizer and supported language.
* Patterns - Contains all the regular expressions that fulfill the recognizers logic. It's divided by supported language.