International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Automatic Keyphrase Extraction for Multi Document

Abstract

Keyphrase extraction only consider the connections between words in a document, ignoring the impact of the sentence. Motivated by the fact that a word must be important if it appears in many important sentences, we propose to take full advantage of the reinforcement between words and sentences by melting three kinds of relationships between them. Moreover, a document is grouped with many topics. The extracted keyphrases should be synthetic in the sense that they should deal with all the main topics in a document. Inspired by this, we take topic model into consider. Experimental results show that our approach performs better than state-of-the-art keyphrase extraction method on two datasets under three evaluation metrics.

Country : India

1 Aluri brahma reddy2 Dr.Vaka Muralimohan3 Dr.Kanaka Durga Returi

  1. 1Research Scholar, Chaudhary Charan Singh University Meerut, Uttar Pradesh, India
  2. 3Professor, Department of CSE, Malla Reddy College of Engineering for Women, Hyderabad, India
  3. 3Professor, Department of CSE, Malla Reddy College of Engineering for Women, Hyderabad, India

IRJIET, Volume 3, Issue 11, November 2019 pp. 110-112

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