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geneea-nlp-client

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The TypeScript Client for Geneea Interpretor G3 API.

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import { Analysis } from "./analysis"; import { Token } from "./token"; import { Sentence } from "./sentence"; import { HasSentiment, Sentiment } from "./sentiment"; import { HasVectors, Vector } from "./vector"; import { TectoToken } from "./tecto-token"; import { HasId } from "../../common/id"; export declare class Paragraph implements HasId, HasSentiment, HasVectors { readonly id: string; type: string; text: string; origText: string; sentences: Sentence[]; sentiment: Sentiment | null; vectors: Vector[] | null; /** Type of a paragraph representing a title of the whole document. Also used for email subjects. */ static readonly TYPE_TITLE = "TITLE"; /** Type of a paragraph representing an abstract (lead or perex) of the whole document. */ static readonly TYPE_ABSTRACT = "ABSTRACT"; /** Type of a paragraph containing regular text (for now this is used for the whole body of the document). */ static readonly TYPE_BODY = "BODY"; /** Type of a paragraph representing a section/chapter heading (not used yet). */ static readonly TYPE_SECTION_HEADING = "section_heading"; /** The full analysis object containing this paragraph. */ container: Analysis; /** * * @param id ID of the paragraph used to refer to it from other objects. * @param type Title, section heading, lead, body text, etc. For now, it is simply the segment type: title, lead, body. * @param text The paragraph text, possibly after correction (token offsets link here). * @param origText The original paragraph text as in the request. * @param sentences The sentences the paragraph consists of. * @param sentiment Optional sentiment of the paragraph. * @param vectors Optional vectors for this paragraph. */ private constructor(); /** Paragraph factory method, public constructor. */ static of(id: string, type: string, text: string, origText?: string | null, sentences?: Sentence[] | null, sentiment?: Sentiment | null, vectors?: Vector[] | null): Paragraph; /** Tokens across all sentences. */ tokens(): Iterable<Token>; /** Tecto tokens across all sentences. */ tectoTokens(): Iterable<TectoToken>; toString(): string; }