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.
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:
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