The news recommender component provides semantically enriched news articles from selected news sources. It recommends news articles based on topic and reading difficulty. It can be configured to ingest news articles from a wide range of web-based news outlets. Each news article is processed using our NLP pipeline and classified by topic and CEFR level. The news recommender has over 10M articles in its content store.
Receive news that you can use in language learning purposes (or directly plug into your language learning app). It reduces your content creation costs through the automated selection and curation of news articles. Take a look at KnowbleReader as a source of inspiration to see how it works in a real-world application.