Machine reading is all about enabling computers to read on a large scale. In order to achieve this ambitious objective, we need software that is able to get the gist of a text. But what is in a text? Wouldn’t it be fantastic if a system could:
Thanks to its tight integration with WordAtlas and Comprehendo, Extraggo can process text and extract key insights from unstructured data, making it easy to perform semantically-boosted text analytics independently of the languages used in the input data.
Extraggo provides a seamless combination of statistical and semantic techniques. Statistical machine learning is applied to identify the key terms in the input text, whereas semantic text understanding, provided by Comprehendo, enables linking terms to concepts and entities as available in the WordAtlas knowledge graph. Terms, concepts and entities are ranked by importance, and the domain and sentiment information conveyed in the text are provided. Thanks to its tight interaction with Comprehendo and WordAtlas, Extraggo makes it possible to distill knowledge from text written in multiple languages, including non-standard text, such as bags of words or search queries.
Extraggo comes with the following features:
Extraggo takes as input a text (or a collection of texts) and ranks the key concepts and entities, as well as domain and sentiment information, as shown below: