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Feature extraction based on principal component analysis for text categorization

Research article (2017 International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN), 2017) · cited 13× · AI/ML
academia openalex:W2792027575
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Feature extraction based on principal component analysis for text categorization

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Feature extraction based on principal component analysis for text categorization is a scholarly article[1].

Key Facts

  • Feature extraction based on principal component analysis for text categorization's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Feature extraction based on principal component analysis for text categorization. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-extraction-based-on-principal-component-analysis-for-text-categorization
MLA “Feature extraction based on principal component analysis for text categorization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-extraction-based-on-principal-component-analysis-for-text-categorization.
BibTeX @misc{4ortxyz_feature-extraction-based-on-principal-component-analysis-for-text-categorization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature extraction based on principal component analysis for text categorization}}, year = {2026}, url = {https://4ort.xyz/entity/feature-extraction-based-on-principal-component-analysis-for-text-categorization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature extraction based on principal component analysis for text categorization — https://4ort.xyz/entity/feature-extraction-based-on-principal-component-analysis-for-text-categorization (retrieved 2026-05-24)

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