Returns a hierarchical taxonomy of the content. The top three categories are returned by default.
Supported languages: Arabic, English, French, German, Italian, Japanese, Korean, Portuguese, Spanish.
Returns text classifications for the content.
Supported languages: English only.
Returns high-level concepts in the content. For example, a research paper about deep learning might return the concept, "Artificial Intelligence" although the term is not mentioned.
Supported languages: English, French, German, Italian, Japanese, Korean, Portuguese, Spanish.
Detects anger, disgust, fear, joy, or sadness that is conveyed in the content or by the context around
target phrases specified in the targets parameter. You can analyze emotion for detected entities with
entities.emotion and for keywords with keywords.emotion.
Supported languages: English.
Identifies people, cities, organizations, and other entities in the content. For more information, see Entity types and subtypes.
Supported languages: English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Swedish. Arabic, Chinese, and Dutch are supported only through custom models.
Returns important keywords in the content.
Supported languages: English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Swedish.
Returns information from the document, including author name, title, RSS/ATOM feeds, prominent page image, and publication date. Supports URL and HTML input types only.
Recognizes when two entities are related and identifies the type of relation. For example, an awardedTo
relation might connect the entities "Nobel Prize" and "Albert Einstein". For more information, see Relation
types.
Supported languages: Arabic, English, German, Japanese, Korean, Spanish. Chinese, Dutch, French, Italian, and Portuguese custom models are also supported.
Parses sentences into subject, action, and object form.
Supported languages: English, German, Japanese, Korean, Spanish.
Analyzes the general sentiment of your content or the sentiment toward specific target phrases. You can
analyze sentiment for detected entities with entities.sentiment and for keywords with keywords.sentiment.
Supported languages: Arabic, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish.
(Experimental) Returns a summary of content.
Supported languages: English only.
Returns tokens and sentences from the input text.
Generated using TypeDoc
Analysis features and options.