Document (#39931)

Author

Daudaravicius, V.

Title

¬A framework for keyphrase extraction from scientific journals

Source

http://cs.unibo.it/save-sd/2016/papers/pdf/daudaravicius-savesd2016.pdf

Year

2016

Abstract

We present a framework for keyphrase extraction from scientific journals in diverse research fields. While journal articles are often provided with manually assigned keywords, it is not clear how to automatically extract keywords and measure their significance for a set of journal articles. We compare extracted keyphrases from journals in the fields of astrophysics, mathematics, physics, and computer science. We show that the presented statistics-based framework is able to demonstrate differences among journals, and that the extracted keyphrases can be used to represent journal or conference research topics, dynamics, and specificity.

Content

Vortrag, "Semantics, Analytics, Visualisation: Enhancing Scholarly Data Workshop co-located with the 25th International World Wide Web Conference April 11, 2016 - Montreal, Canada", Montreal 2016.

Theme

Automatisches Indexieren

Field

Astronomie
Mathematik
Physik
Informatik

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