KP-Rank: a semantic-based unsupervised approach for keyphrase extraction from text data

Author:

Aman Muhammad,Abdulkadir Said JadidORCID,Aziz Izzatdin Abdul,Alhussian Hitham,Ullah Israr

Funder

Universiti Teknologi Petronas

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GWebPositionRank: Unsupervised Graph and Web-based Keyphrase Extraction form BERT Embeddings;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16

2. Machine learning and ontology-based novel semantic document indexing for information retrieval;Computers & Industrial Engineering;2023-02

3. A Comparative Study of Topic Modeling Methods for Document Retrieval;2022 32nd International Conference on Computer Theory and Applications (ICCTA);2022-12-17

4. Web information mining and semantic analysis in heterogeneous unstructured text data using enhanced latent Dirichlet allocation;Concurrency and Computation: Practice and Experience;2022-10-18

5. MGRank: A keyword extraction system based on multigraph GoW model and novel edge weighting procedure;Knowledge-Based Systems;2022-09

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