Tisane api analyzes text in multiple languages and provides various insights, such as: aspect-based sentiment instances of abuse topics entities found in the text list of sentences, and the metadata for each sentence: constituents of the sentence, that is, words/lexical units, detected word senses, punctuation marks, and numerals lexical units optionally bear grammatical and stylistic features, as well as word senses phrases (e.g. noun phrases, verb phrases, prepositional phrases, and more) parse trees all these insights are returned by the method /parse; the user preferences in the developer portal specify the sections to show. the language model api allows browsing the language data, up to the level of word senses, in all the languages supported by the system.
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