A semantic taxonomy for weighting assumptions to reduce feature selection from social media and forum posts
Numerous researchers have worked on the knowledge-based semantics of words to clarify the ambiguity of (https://github.com/alimuttaleb/Ali-Muttaleb/blob/master/Synonym.txt) synonyms in various natural-language processing fields, such as Wikipedia, websites, and social networks. This paper attempts t...
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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
Springer
2020
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Online Access: | http://umpir.ump.edu.my/id/eprint/28450/1/A%20Semantic%20Taxonomy%20for%20Weighting%20Assumptions%20to%20Reduce%20Feature%20Selection%20from%20Social%20Media%20and%20Forum%20Posts.pdf http://umpir.ump.edu.my/id/eprint/28450/ https://doi.org/10.1007/978-3-030-33582-3_39 https://doi.org/10.1007/978-3-030-33582-3_39 |
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http://umpir.ump.edu.my/id/eprint/28450/1/A%20Semantic%20Taxonomy%20for%20Weighting%20Assumptions%20to%20Reduce%20Feature%20Selection%20from%20Social%20Media%20and%20Forum%20Posts.pdfhttp://umpir.ump.edu.my/id/eprint/28450/
https://doi.org/10.1007/978-3-030-33582-3_39
https://doi.org/10.1007/978-3-030-33582-3_39