A frequent keyword-set based algorithm for topic modeling and clustering of research papers

In this paper we introduce a novel and efficient approach to detect topics in a large corpus of research papers. With rapidly growing size of academic literature, the problem of topic detection has become a very challenging task. We present a unique approach that uses closed frequent keyword-set to...

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Bibliographische Detailangaben

Hauptverfasser:	Shubankar, K., Singh, A., Pudi, V.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Authoritative Score Citation Network Closed Frequent Keyword-set Graph Mining Topic Detection
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