Term evaluation metrics in imbalanced text categorization
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DOI: 10.1017/s1351324919000317
Abstract: Abstract This paper proposes four novel term evaluation metrics to represent documents in the text categorization where class distribution is imbalanced. These metrics are achieved from the revision of the four common term evaluation metrics:… read more here.
Keywords: term evaluation; text categorization; evaluation metrics;
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications
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DOI: 10.1109/access.2019.2935416
Abstract: Medical applications challenge today’s text categorization techniques by demanding both high accuracy and ease-of-interpretation. Although deep learning has provided a leap forward in regard to accuracy, this leap comes at the sacrifice of interpretability. In… read more here.
Keywords: accuracy; text categorization; tsetlin machine;
Exploiting Ontology Recommendation Using Text Categorization Approach
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DOI: 10.1109/access.2020.3047364
Abstract: Semantic Web is considered as the backbone of web 3.0 and ontologies are an integral part of the Semantic Web. Though an increase of ontologies in different domains is reported due to various benefits which… read more here.
Keywords: ontology recommendation; text categorization; ontology; proposed framework ... See more keywords