Litcius/Paper detail

Measuring the novelty of scientific publications: A fastText and local outlier factor approach

Daeseong Jeon, Junyoup Lee, Joon Mo Ahn, Chang‐Yong Lee, Chang‐Yong Lee

2023Journal of Informetrics39 citationsDOI

Topics & Concepts

NoveltyComputer scienceOutlierSubject (documents)Novelty detectionConstruct (python library)Data scienceScientific literatureInformation retrievalMeasure (data warehouse)Point (geometry)Scale (ratio)Data miningArtificial intelligenceMathematicsWorld Wide WebPsychologyBiologySocial psychologyProgramming languagePaleontologyQuantum mechanicsGeometryPhysicsSoftware Engineering Researchscientometrics and bibliometrics researchMachine Learning in Materials Science
Measuring the novelty of scientific publications: A fastText and local outlier factor approach | Litcius