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An Improved Sentiment Classification Approach for Measuring User Satisfaction toward Governmental Services’ Mobile Apps Using Machine Learning Methods with Feature Engineering and SMOTE Technique
Research article (Applied Sciences, 2022) · cited 35× · AI/ML
An Improved Sentiment Classification Approach for Measuring User Satisfaction toward Governmental Services’ Mobile Apps Using Machine Learning Methods with Feature Engineering and SMOTE Technique
Summary
An Improved Sentiment Classification Approach for Measuring User Satisfaction toward Governmental Services’ Mobile Apps Using Machine Learning Methods with Feature Engineering and SMOTE Technique is a scholarly article[1].
Key Facts
An Improved Sentiment Classification Approach for Measuring User Satisfaction toward Governmental Services’ Mobile Apps Using Machine Learning Methods with Feature Engineering and SMOTE Technique's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). An Improved Sentiment Classification Approach for Measuring User Satisfaction toward Governmental Services’ Mobile Apps Using Machine Learning Methods with Feature Engineering and SMOTE Technique. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-improved-sentiment-classification-approach-for-measuring-user-satisfaction-toward-governmental-services-mobile-apps-u
MLA“An Improved Sentiment Classification Approach for Measuring User Satisfaction toward Governmental Services’ Mobile Apps Using Machine Learning Methods with Feature Engineering and SMOTE Technique.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-improved-sentiment-classification-approach-for-measuring-user-satisfaction-toward-governmental-services-mobile-apps-u.
BibTeX@misc{4ortxyz_an-improved-sentiment-classification-approach-for-measuring-user-satisfaction-toward-governmental-services-mobile-apps-u_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Improved Sentiment Classification Approach for Measuring User Satisfaction toward Governmental Services’ Mobile Apps Using Machine Learning Methods with Feature Engineering and SMOTE Technique}}, year = {2026}, url = {https://4ort.xyz/entity/an-improved-sentiment-classification-approach-for-measuring-user-satisfaction-toward-governmental-services-mobile-apps-u}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Improved Sentiment Classification Approach for Measuring User Satisfaction toward Governmental Services’ Mobile Apps Using Machine Learning Methods with Feature Engineering and SMOTE Technique — https://4ort.xyz/entity/an-improved-sentiment-classification-approach-for-measuring-user-satisfaction-toward-governmental-services-mobile-apps-u (retrieved 2026-05-24)
