NewsFeed Researcher has been built basing on our text-mining and multi-document summarization technology.

What are the key advantages of the NewsFeed Researcher-produced information product?

• Surfaces the relevant information from within the multiple news stories and presents it in a way that makes it easily manageable by the reader. 
• Represents comprehensive summary that itself contains the required information, limiting the need for accessing original files to cases when refinement is required.
• Goes beyond the most general information that is common across multiple documents, outlining all essential aspects and a wide diversity of views on the topic.
• Possesses the two-level structure: the main aspects are concisely presented at the top level followed by the more detailed information on every aspect.
• Presents information that is extracted from multiple sources algorithmically, without any editorial touch, so the digest is completely unbiased.

What differs NewsFeed Researcher from the known competitive technologies?

NewsFeed Researcher ensures compliance with the high standards of text quality (with a special emphasis on the reader-friendliness).

Primarily,

•  only narrow topic-related information from relevant papers is included;
•  no paper-unrelated "information noise" from the respective web pages;
•  no dangling references to what is not mentioned or explained in the overview;
•  no text breaks across a sentence;
•  semantic redundancy is omitted.

Furthermore,

•  content is organized around the main ideas;
•  every content section is accessible from its respective item in the general outline (Contents);
•  text within sections is divided into meaningful paragraphs;
•  gradual transition from more general to more particular thematic aspects is ensured.
  

How the NewsFeed Researcher automatic summarization relates to the existing news aggregation techniques?

While the news aggregators (like Google News) provide immediate access to news from multiple points of view on any major issue, there is still a number of disadvantages for the readers:

• It is time-consuming to read across multiple stories clustered around a topic.
• It is still easy to miss pertinent information or an unusual viewpoint buried in hundreds of papers.
• Despite that duplicate stories are avoided, there is still too much "hidden" redundancy.
• The news aggregators are unable to organize information semantically.

NewsFeed Researcher-compiled multi-source summaries overcome the above-mentioned flaws. This technology complements the traditional news aggregators and represents the next step down the road of coping with information overload.

At the same time, automatic digests preserve the main advantages of the automatic systems:

• They are absolutely unbiased, being compiled from a diversity of sources without any subjective human intervention.
• They can present any news cluster of any size on-the-fly at any desired moment.