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Articles by Taqwa Hariguna
Emotion classification using advanced neural networks on sentence-level data
Emotion classification using advanced neural networks on sentence-level data 1Department of Commerce, Chulalongkorn Business School, Chulalongkorn University, Bangkok, Thailand 2Magister of Computer Sciences, Universitas Amikom Purwokerto, Purwokerto, Indonesia DOI 10.7717/peerj-cs.3411 Academic Editor Juan Lara Subject Areas Human-Computer Interaction, Artificial Intelligence, Data Mining and Machine Learning, Natural Language and Speech, Neural Networks Keywords Emotion classification,...
Exploring the synergy of guided numeric and text analysis in e-commerce: a comprehensive investigation into univariate and multivariate distributions
One of the key aspects of this research is the integration of numerical and text analysis. Univariate and multivariate distribution analysis provided a deep understanding of product trends and customer satisfaction. The finding that product recommendation is a strong indicator of positive sentiment highlights the importance of listening to customer views in measuring product success.
Adaptive sentiment analysis using multioutput classification: a performance comparison
Discussion In recent years, sentiment analysis has become a widely researched topic owing to its potential application in various fields. In the current work, the effectiveness of LinearSVC and StackingClassifier algorithms in sentiment analysis was investigated, and their superior performance compared to other algorithms was demonstrated. This result is consistent with previous studies, such as the work of Aini et al.
linking academia, business and industry through research
Home Full-text access for editors The impact of citizen perceived value on their intention to use e-government services: an empirical study by Taqwa Hariguna; Untung Rahardja; Athapol Ruangkanjanases Electronic Government, an International Journal (EG), Vol. 16, No. 4, 2020 Abstract: The purpose of this study was to integrate citizen perceived value into an expectation-confirmation model (ECM) to explain their intention to use e-government services.
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