For a dedicated instance, business support, or an enterprise solution of TextTeaser, send me an email at firstname.lastname@example.org. This is for demo purpose only. Don't use it in a production environment. TextTeaser is an automatic summarization API. It extracts the most important sentences of an article. The purpose of the API is to provide a preview of what the article is all about. The API accepts the text of the article, and it will return the summary / most important sentences in it. If you want to know the quality of the teasers, check out my Medium post: https://medium.com/medium-ideas/59b1747c1d36
Multilingual text understanding API: developers can extract keywords and entities from unstructured documents and short pieces of text, and enrich them with information extracted from resources of the Linked Open Data cloud, such as DBPedia or Freebase. Other features include text comparison, summarization, and language detection. Available in 30+ languages.
The summarization API takes content of any length (up to 1megabyte) in plain text or HTML, and returns scores for the importance of each sentence 0-99, and a summary roughly 350 characters in length. Summaries are in plain text even if the original content was part of a complex HTML page. This version of the API will return HTML with spans in the content that rank a sentence 0-99. This can be used to present a summary of any length by hiding spans based on a thresh hold. This is great for shortening an HTML document to 50% length and maintaining all of the formatting. Returned text as presented as Json. Requests must be made as a POST request. Content must be at least 3 sentences long for a summary to be generated. The request takes a single query parameter, “content” , which is the text you wish to summarize. Response is text summary, and HTML with spans. Even if content is too short the request will be served a 200 response.