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DOI 10.5286/raltr.2017004
Persistent URL http://purl.org/net/epubs/work/32874726
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Record Id 32874726
Title A machine learning approach to the classification of technical abstracts in a two-level ontology
Abstract This paper describes an approach to multi-label hierarchical document classification on an open- source corpus of 30,000 grant proposals. After text cleaning and feature extraction, an array of linear classifiers are trained and evaluated with a number of metrics, and found to classify unseen documents into 34 categories with a precision of 80%
Organisation STFC , SCI-COMP
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Licence Information: Creative Commons Attribution 3.0 Unported (CC BY 3.0)
Language English (EN)
Type Details URI(s) Local file(s) Year
Report RAL Technical Reports RAL-TR-2017-004. 2017. RAL-TR-2017-004.pdf 2017