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Argumentation mining: classifying argumentation components with Partial Tree Kernel and Support Vector Machine for constituent trees on imbalanced persuasive essay
Author(s) -
Hanif Ayu Kusmantini,
Ibnu Asror,
Moch Arif Bijaksana
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1192/1/012009
Subject(s) - argumentation theory , argument (complex analysis) , support vector machine , recall , computer science , class (philosophy) , kernel (algebra) , artificial intelligence , machine learning , tree kernel , decision tree , tree (set theory) , precision and recall , tree structure , data mining , kernel method , natural language processing , polynomial kernel , mathematics , algorithm , psychology , epistemology , binary tree , cognitive psychology , discrete mathematics , mathematical analysis , philosophy , chemistry , biochemistry

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