Improving SMS Spam Detection Through Machine Learning: An Investigation of Feature Extraction and Model Selection Techniques

Research article (2023 International Conference on Information Management and Technology (ICIMTech), 2023) · cited 10× · AI/ML
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Improving SMS Spam Detection Through Machine Learning: An Investigation of Feature Extraction and Model Selection Techniques

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Improving SMS Spam Detection Through Machine Learning: An Investigation of Feature Extraction and Model Selection Techniques is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving SMS Spam Detection Through Machine Learning: An Investigation of Feature Extraction and Model Selection Techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-sms-spam-detection-through-machine-learning-an-investigation-of-feature-extraction-and-model-selection-techniq
MLA “Improving SMS Spam Detection Through Machine Learning: An Investigation of Feature Extraction and Model Selection Techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-sms-spam-detection-through-machine-learning-an-investigation-of-feature-extraction-and-model-selection-techniq.
BibTeX @misc{4ortxyz_improving-sms-spam-detection-through-machine-learning-an-investigation-of-feature-extraction-and-model-selection-techniq_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving SMS Spam Detection Through Machine Learning: An Investigation of Feature Extraction and Model Selection Techniques}}, year = {2026}, url = {https://4ort.xyz/entity/improving-sms-spam-detection-through-machine-learning-an-investigation-of-feature-extraction-and-model-selection-techniq}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving SMS Spam Detection Through Machine Learning: An Investigation of Feature Extraction and Model Selection Techniques — https://4ort.xyz/entity/improving-sms-spam-detection-through-machine-learning-an-investigation-of-feature-extraction-and-model-selection-techniq (retrieved 2026-05-24)

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