Automatically generate pertinent, SEO-friendly summaries

Nsummarizer extracts documents' aboutness to create perfect blurbs

Overview

More and more people are subscribing to content via RSS and other aggregators. These aggregators often truncate documents and request the reader to "read more". A smart, succinct summary is necessary to engage readers and drive them to a Web site, keeping content connected with a brand. Nsummarizer identifies key sentences in a document and uses them to create a summary, liberating editorial staff from an otherwise menial chore.

Applications

Conversion teasers: Great summaries invites people to click-through and read full articles. This can save valuable front-page real-estate and enable syndication. The click-through to read the full article is also an important action point, where to get visitors to register or subscribe.

SEO enhancers: Teasers are fine examples of open representation for paid content. If full articles are behind a subscription page, then teasers are the best means of getting crawled and indexed by search engines. Also, since crawlers only index a limited number of characters within the body of an article, a quality teaser ensures that the most relevant materials will be captured, allowing for better management of long documents.

How it works

Once TME performs its rigorous concept, entity and category extraction, it is left with very rich, detailed summary information. Nstein uses this intelligent, weighted information to extract sentences that are representative of the entire document.

Nsummarizer begins by evaluating extracted information. It subsequently selects sentences that convey the meaning of the document, weighting them by relevancy. It compiles these key phrases and assembles a summary for either single or multiple documents.

Each sentence's relevancy score is calculated according to Nstein's semantic Linguistic DNA. Linguistic DNA measures how closely concepts contained in a single sentence match the concepts contained in an entire article. This lends itself to highly relevant summaries.

Nsummarizer allows information professionals a great deal of control over the type and amount of content they wish to extract from any given document. The summary length can also be set dynamically.

Input/Output

Nsummarizer ingests documents in any format and outputs :

• A summary composed of the key sentences found in the document.