Extracts relevant information elements from an unstructured text:

• Named entities: people, organizations, places, etc.
• Concepts: significant keywords
• Time and money expressions
• URIs and phone numbers
• Quotes
• Relations (beta)

This detection process is carried out by combining a number of complex natural language processing techniques that allow to obtain morphological, syntactic and semantic analyses of a text and use them to identify different types of significant elements.
The current supported languages are Spanish, English, French, Italian, Portuguese and Catalan.

Differentiators:

• The high configurability provided by the API allows to adjust its behavior to very diverse operating scenarios, not only to obtain exactly the type of information relevant to the user, but also to cover different source formats, languages and even language registers.
• Recognizes names of people, organizations… and a hierarchy of 200 entity types.
• Extracts multiword concepts (e.g. “financial crisis”).
• Disambiguates and detects co-occurrences in several languages.
• User can create its own dictionaries.
• FREE for up to 20,000 requests per month.

More information at https://www.meaningcloud.com/developer/topics-extraction

Related APIs:

• Text Classification https://rapidapi.com/MeaningCloud/api/text-classification
• Sentiment Analysis https://rapidapi.com/MeaningCloud/api/sentiment-analysis
• Language Identification https://rapidapi.com/MeaningCloud/api/language-identification