KP-Rank: a semantic-based unsupervised approach for keyphrase extraction from text data
Automatic key concept identification from text is the main challenging task in information extraction, information retrieval, digital libraries, ontology learning, and text analysis. The main difficulty lies in the issues with the text data itself, such as noise in text, diversity, scale of data, co...
| Main Authors: | Aman, M., Abdulkadir, S.J., Aziz, I.A., Alhussian, H., Ullah, I. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23821 / |
| Published: |
Springer
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099375213&doi=10.1007%2fs11042-020-10215-x&partnerID=40&md5=9d0ccf1ff2f914e59a57acc66aadf9d6 http://eprints.utp.edu.my/23821/ |
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