The field of artificial intelligence has always envisioned machines being able to mimic the functioning and abilities of the human mind. Language is considered one of the most significant achievements of humans that have accelerated the progress of humanity.

So, it is not a surprise that there is plenty of work being done to integrate language into the field of artificial intelligence in the form of Natural Language Processing (NLP). Concept extraction is a field of NLP focusing on finding out the semantics of a text.

At Springer Nature, concepts are noun phrases automatically extracted from a document’s abstract, which is used to weigh their importance and relevance within the document’s field of study.

Our Data Science team is going to walk the audience through this important NLP task, offering a background from the AI field and demonstrating how we take advantage of this capability to extract semantic knowledge from our scientific data.

Key concepts extraction in Data Science: A important task for scientific knowledge discovery