Text Analytics
Unleash the hidden opportunities in your content
Thanks to artificial intelligence (AI) technology using natural language processing (NLP) Atex Text Analytics service can process text in any language and extract key concepts and entities, domains, and sentiment.
Atex Text Analytics service is provided in partnership with Babelscape, a company founded in 2016 and building on multiple award-winning research in the NLP field performed by the group headed by prof. Roberto Navigli at the Sapienza University of Rome.
Atex Text Analytics can:
Statistical and semantic extraction
Atex Text Analytics 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, enables linking terms to concepts and entities as available in the knowledge graph. Terms, concepts, and entities are ranked by importance, and the domain and sentiment information conveyed in the text are provided. Atex Text Analytics makes it possible to distil knowledge from text written in multiple languages, including non-standard text, such as bags of words or search queries.
Features
Atex Text Analytics comes with the following features:
How it works
Atex Text Analytics 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:
Atex Text Analytics is natively integrated in Atex content management solutions and can also be integrated with any 3rd party system thanks to an open REST API.
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