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Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3298-8
Abstract: Term weighting is a well-known preprocessing step in text classification that assigns appropriate weights to each term in all documents to enhance the performance of text classification. Most methods proposed in the literature use traditional…
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Keywords:
text classification;
short text;
term weighting;
term ... See more keywords
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Published in 2017 at "Applied Intelligence"
DOI: 10.1007/s10489-017-0911-6
Abstract: This study proposes a novel scheme for termset weighting based on cardinality statistics. Specifically, termsets are evaluated by considering the number of apparent member terms. Based on a recently verified hypothesis that the occurrence of…
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Keywords:
termset weighting;
term;
weighting schemes;
term weighting ... See more keywords
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Published in 2019 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-019-03920-9
Abstract: The performance of text classification can be affected by the choice of appropriate term weighting scheme as well as other parameters. The terminology supervised term weighting scheme has become popular in recent years, as it…
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Keywords:
term;
term frequency;
frequency;
term weighting ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230592
Abstract: Numerous earlier studies focused on the term weighting scheme to increase examination question classification accuracy based on Bloom’s Taxonomy (BT). While determining the cognitive level of the examination question, all the terms present in the…
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Keywords:
question;
weighting scheme;
term weighting;
examination question ... See more keywords