Text Classification
FREEMIUM
4.2/10
351ms
100%Text Classification API Overview
Automatic multilingual text classification according to pre-established categories defined in a model. The algorithm used combines statistic classification with rule-based filtering, which allows to obtain a high degree of precision for very different environments. Three models available: IPTC (International Press Telecommunications Council standard), EuroVocs and Corporate Reputation model. Languages covered are Spanish, English, French, Italian, Portuguese and Catalan.
Contact API Provider
Rate
MeaningCloud's Text Classification
Assigns one or more categories to a text, using standard domain-specific taxonomies (e.g., IPTC. IAB, ICD-10) or user-defined categories. The algorithm combines statistical document classification with rule-based filtering, which allows to obtain a high degree of accuracy and flexibility in a wide range of environments.
Differentiators:
- Statistical classifiers provide a means to use example documents to define each category.
- In turn, rule base classifiers helps to fine-tune the classification and correct the output of statistical classifiers.
- Its powerful rule based classification language is also useful to bootstrap a categorization when no examples are available.
- Features predefined, standard taxonomies: IPTC, IAB, ICD-10, Eurovoc.
- User can create its own categories and classification models.
- FREE for up to 20,000 requests per month.
More information at http://www.meaningcloud.com/products/text-classification/
Related APIs:
Topics Extraction https://rapidapi.com/MeaningCloud/api/topics-extraction
Sentiment Analysis https://rapidapi.com/MeaningCloud/api/sentiment-analysis
Language Identification https://rapidapi.com/MeaningCloud/api/language-identification
Install SDK for NodeJS
Installing
To utilize unirest for node.js install the the npm module:
$ npm install unirest
After installing the npm package you can now start simplifying requests like so:
var unirest = require('unirest');Creating Request
unirest.get("https://text-classification.p.rapidapi.com/class-1.1.php?url=undefined&of=undefined&title=undefined&txt=undefined&verbose=undefined&categories=undefined&model=<required>")
.header("X-RapidAPI-Host", "undefined")
.header("X-RapidAPI-Key", "undefined")
.header("Accept", "undefined")
.end(function (result) {
console.log(result.status, result.headers, result.body);
});OAuth2 Authentication