taggy | Open Semantic Tagging

taggy is a typescript-based frontend package to automatically tag (or categorize) textual content

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• try out the live-demo here

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Please Note

This here is to get you going quickly. For more information on taggy, more demos and extended docs, please go here.

Getting Started

Import it via CDN:

<script src="https://cdn.jsdelivr.net/npm/@b1tsteller/taggy"></script>

Or install taggy with npm:

npm install @b1tsteller/taggy

Then import the package and create a new instance with at least an input and an output-element:

import { Taggy } from "@b1tsteller/taggy";

let inputElement = document.getElementById('inputField');
let outputElement = document.getElementById("outputDiv");

let taggy = new Taggy(inputElement, outputElement);

• The input-element is a html-tag, preferably <input> or <textarea>, but can be everything holding text

• The output-element can be a html-tag of any kind, preferably <div>

Get your glossary ready and adjust it to your needs:

The default comes integrated under /data/glossary.json with the data shown below. But you definetly want to use your own :)

You can set it like this:

import myGlossary from "../data/my-glossary.json";

taggy.setGlossary(myGlossary);

The structure is as follows:

{
  "tags": [
    {
      "category": "Herbs and Spices",
      "keywords": ["Rosemary", "Parsley", "Pepper", "Thyme", "Mint", "Chilli", "Basil", "Dill"]
    },
    {
        "category": "Vegetables",
        "keywords": ["Potatoes", "Cucumber", "Garlic", "Carrots", "Spinach", "Onion", "Mushrooms"]
    },
    {
      "category": "Fish",
      "keywords": ["Salmon", "Tuna", "Red Snapper", "Sardines", "Herring", "Flounder", "Bass", "Mackerel"]
    }
  ]
}

Retrieve detected single Tag:

The input-element which was provided on instatiation will receive the parameter "value" with the detected tag in it. For example:

<div id="outputDiv" value="Economy">
  <div class="taggy-tag">Economy</div>
</div>

Retrieve multiple Tags:

You can get multiple detected tags via the override-function, even when it's not visible to your users (e.g. "display: none"). Please make sure to turn it on (see options below). You'll get an element like this:

<div id="override" value="Politics, Science">
  <div class="taggy-tag taggy-override">Politics</div>
  <div class="taggy-tag taggy-override">Science</div>
</div>

Options

You can add additional params when creating the taggy object:

let taggy = new Taggy(inputElement, outputElement, 
{ submitButton: submit, loaderElement: loaderDiv, includeTop: true });

Parameter	Type	Info
submitButton	HTMLElement	Element (button) triggers analysis on click
frequencyOutput	HTMLSpanElement	Element contains additional info on most occurencies of detected keywords
overrideOutput	HTMLInputElement	Element shows multiple detected tags if analysis is not unambiguous
loaderElement	HTMLElement	Element (loader/spinner) that gets hidden on completion
useSubmit	boolean	true -> analyze input while typing / false -> use of submit button to process ('submitButton' has to be defined) | default: false
waittime	number	Duration for the time to wait until tags show up | default: 1000
language	string	Language Code in ISO 639-1; see list of available options below
assignTop	boolean	true -> return category of found keyword / false -> return the keyword itself | default: true
includeTop	boolean	Include name of the categories themself as keywords | default: false
messageNotFound	string	Customize displayed message if no tag is found | default "No matching tag found"
openthesaurus	boolean	Add call to openthesaurus API to enrich words (experimental) | default: false

Framework Integration

Angular

This is a basic example on how you can integrate taggy into an Angular-project:

In your HTML-Template:

<input type="text" #taggyInput />
<div #taggyOutput></div>

In your .ts-file:

import { ViewChild, ElementRef } from "@angular/core";
import { Taggy } from "@b1tsteller/taggy";

...
@ViewChild("taggyInput") taggyInput: ElementRef;
@ViewChild("taggyOutput") taggyOutput: ElementRef;

...
ngAfterViewInit() {
  let taggyObject = new Taggy(this.taggyInput.nativeElement, this.taggyOutput.nativeElement);
}

Languages

taggy is language agnostic. But it's advised to define it, so common (and for this task irrelevant words) aka stopwords ("by", "a", "the", "also", "and", ...) in the input won't be processed. Below list from here

ISO 639-1 Language List

ISO 639-1 Code	Language
af	Afrikaans
ar	Arabic
hy	Armenian
eu	Basque
bn	Bengali
br	Breton
bg	Bulgarian
ca	Catalan; Valencian
cs	Czech
zh	Chinese
da	Danish
de	German
nl	Dutch; Flemish
el	Greek, Modern (1453-)
en	English
eo	Esperanto
et	Estonian
fa	Persian
fi	Finnish
fr	French
ga	Irish
gl	Galician
gu	Gujarati
ha	Hausa
he	Hebrew
hi	Hindi
hr	Croatian
hu	Hungarian
id	Indonesian
it	Italian
ja	Japanese
ko	Korean
ku	Kurdish
la	Latin
lv	Latvian
lt	Lithuanian
mr	Marathi
ms	Malay
no	Norwegian
pl	Polish
pt	Portuguese
ro	Romanian; Moldavian; Moldovan
ru	Russian
sk	Slovak
sl	Slovenian
so	Somali
st	Sotho, Southern
es	Spanish; Castilian
sw	Swahili
sv	Swedish
tl	Tagalog
th	Thai
tr	Turkish
uk	Ukrainian
ur	Urdu
vi	Vietnamese
yo	Yoruba
zu	Zulu

Glossary Building

If you don't have your own glossary ready to feed taggy, you can build your own with a service like this https://freetools.textmagic.com/word-cloud-generator and the following steps:

1. Paste all of your existing training/example texts for one category into the input field
2. Hit "Generate" and receive the wordcloud for this category
3. Click download as CSV and you have your keywords ready
4. Put the most frequent ones into your taggy glossary-JSON
5. Repeat steps 1 - 4 for all your other categories