Topical keyphrase extraction with hierarchical semantic networks

Author:

Sung Yoo yeon,Kim Seoung BumORCID

Funder

Brain Korea PLUS

Ministry of Trade, Industry and Energy

Institute for Information & Communications Technology Promotion

Ministry of Culture, Sports and Tourism

Korea Creative Content Agency

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference30 articles.

1. Unsupervised concept hierarchy learning: a topic modeling guided approach;Anoop;Procedia Comput. Sci.,2016

2. A utility-based news recommendation system;Zihayat;Decis.Support Syst.,2019

3. AKEGIS: Automatic Keyword Generation for Sponsored Search Advertising in Online Retailing;Scholz,2019

4. A Language Model Approach to Keyphrase Extraction, Proceedings of the ACL 2003 Workshop on Multiword Expressions: Analysis, Acquisition and Treatment;Tomokiyo,2003

5. K.S. Hasan, V. Ng, Automatic Keyphrase Extraction: A Survey of the State of the Art, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 1, 2014, pp. 1262–1273.

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