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Geneea Natural Language Processing

geneea.com · Authentication For all calls, supply your API key.

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Geneea Natural Language Processing

Authentication For all calls, supply your API key. Sign up to obtain the key . Our API supports both unencrypted (HTTP) and encrypted (HTTPS) protocols. However, for security reasons, we strongly encourage using only the encrypted version. The API key should be supplied as either a request parameter user key or in Authorization header. Authorization: user key <YOUR API KEY> API operations All API operations can perform analysis on supplied raw text or on text extracted from a given URL. Optionally, one can supply additional information which can make the result more precise. An example of such information would be the language of text or a particular text extractor for URL resources. The supported types of analyses are: lemmatization ⟶ Finds out lemmata (basic forms) of all the words in the document. correction ⟶ Performs correction (diacritization) on all the words in the document. topic detection ⟶ Determines a topic of the document, e.g. finance or sports. sentiment analysis ⟶ Determines a sentiment of the document, i.e. how positive or negative the document is. named entity recognition ⟶ Finds named entities (like person, location, date etc.) mentioned the the document. Encoding The supplied text is expected to be in UTF-8 encoding, this is especially important for non-english texts. Returned values The API calls always return objects in serialized JSON format in UTF-8 encoding. If any error occurs, the HTTP response code will be in the range 4xx (client-side error) or 5xx (server-side error). In this situation, the body of the response will contain information about the error in JSON format, with exception and message values. URL limitations All the requests are semantically GET . However, for longer texts, you may run into issues with URL length limit. Therefore, it's possible to always issue a POST request with all the parameters encoded as a JSON in the request body. Example: POST /s1/sentiment Content-Type: application/json {"text":"There is no harm in being sometimes wrong - especially if one is promptly found out."} This is equivalent to GET /s1/sentiment?text=There%20is%20no%20harm... Request limitations The API has other limitations concerning the size of the HTTP requests. The maximum allowed size of any POST request body is 512 KiB . For request with a URL resource, the maximum allowed number of extracted characters from each such resource is 100,000 . Terms of Service By using the API, you agree to our Terms of Service Agreement . More information The Interpretor Public Documentation

번역은 이해를 돕기 위한 미검수 초벌 또는 구조화 안내입니다. 계약·의료·법률 판단에는 원문을 확인하세요.
연결된 문서
전역 집계 전현재 별표는 이 브라우저에만 저장
엔드포인트12OpenAPI 3.0.0
프로토콜REST단일 프로토콜
API 버전1.0공급자 표기 그대로
카탈로그 수집2026. 7. 28.출처 연결됨

아직 수집하지 않음실측 품질 · 가격 · 인증 · 지역 · 공식 여부 · 수명주기무엇을 확인하고 무엇을 남겨 두는지

SELECTION SUMMARY

도입 판단 요약

Authentication For all calls, supply your API key. Sign up to obtain the key . Our API supports both unencrypted (HTTP) and encrypted (HTTPS) protocols. However, for security reasons, we strongly encourage using only the encrypted version. The API key should be supplied as either a request parameter user key or in Authorization header. Authorization: user key <YOUR API KEY> API operations All API operations can perform analysis on supplied raw text or on text extracted from a given URL. Optionally, one can supply additional information which can make the result more precise. An example of such information would be the language of text or a particular text extractor for URL resources. The supported types of analyses are: lemmatization ⟶ Finds out lemmata (basic forms) of all the words in the document. correction ⟶ Performs correction (diacritization) on all the words in the document. topic detection ⟶ Determines a topic of the document, e.g. finance or sports. sentiment analysis ⟶ Determines a sentiment of the document, i.e. how positive or negative the document is. named entity recognition ⟶ Finds named entities (like person, location, date etc.) mentioned the the document. Encoding The supplied text is expected to be in UTF-8 encoding, this is especially important for non-english texts. Returned values The API calls always return objects in serialized JSON format in UTF-8 encoding. If any error occurs, the HTTP response code will be in the range 4xx (client-side error) or 5xx (server-side error). In this situation, the body of the response will contain information about the error in JSON format, with exception and message values. URL limitations All the requests are semantically GET . However, for longer texts, you may run into issues with URL length limit. Therefore, it's possible to always issue a POST request with all the parameters encoded as a JSON in the request body. Example: POST /s1/sentiment Content-Type: application/json {"text":"There is no harm in being sometimes wrong - especially if one is promptly found out."} This is equivalent to GET /s1/sentiment?text=There%20is%20no%20harm... Request limitations The API has other limitations concerning the size of the HTTP requests. The maximum allowed size of any POST request body is 512 KiB . For request with a URL resource, the maximum allowed number of extracted characters from each such resource is 100,000 . Terms of Service By using the API, you agree to our Terms of Service Agreement . More information The Interpretor Public Documentation

이 제품의 적합 용도와 제한 조건은 아직 검수하지 않았습니다. 태그와 카테고리는 찾아가는 길이지 적합성 보증이 아닙니다.

EVIDENCED ADVANTAGES

API 특·장점

공급자·카탈로그·실측·편집 근거가 있는 신호만 표시하며, 근거 유형을 함께 밝힙니다.

카탈로그출처가 확인된 제품

카탈로그 원본과 확인 시점이 연결되어 있습니다.

공급자OpenAPI 3.0.0

정규화된 엔드포인트 12개를 탐색할 수 있습니다.

CATALOG TRUST

색인0

재배포 정책과 기본 식별 조건을 통과해 검색할 수 있지만 편집 승인은 아직 완료되지 않았습니다.

평가 2026. 07. 28. 13:05

같은 목적의 대체 API

같은 카테고리에서 공개 상태와 품질 근거를 우선해 표시합니다.