Key Concept Identification: A Sentence Parse Tree-Based Technique for Candidate Feature Extraction From Unstructured Texts

Key Concept Identification: A Sentence Parse Tree-Based Technique for Candidate Feature Extraction From Unstructured Texts

The effectiveness of automatic key concept or keyphrase identification from unstructured text documents mainly depends on a comprehensive and meaningful list of candidate features extracted from the documents. However, the conventional techniques for candidate feature extraction limit the performanc...

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Bibliographic Details
Main Authors: Muhammad Aman, Abas bin Md Said, Said Jadid Abdul Kadir, Israr Ullah
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Keyphrase extraction
feature extraction
key concept extraction
information retrieval
text mining
Online Access:https://ieeexplore.ieee.org/document/8488345/

Internet

https://ieeexplore.ieee.org/document/8488345/

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