Traffic Violation Clustering Using K-Medoids and Word Cloud Visualization by Muhammad Sabri S, Ema Utami

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New challenges in point cloud visual quality assessment: a systematic review by Amar Tious, Toinon Vigier, Vincent Ricordel

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Sentiment Analysis and Classification of User Reviews of the 'Access by KAI' Application Using Machine Learning Methods to Improve Service Quality by Hildegardis Kristina saka, Putri Taqwa Prasetyaningrum

“…In addition, keyword-based analysis revealed that negative sentiment was most commonly found in the aspects of the payment process and speed. WordCloud visualization also strengthens the results by showing the dominance of negative words in user reviews. …”
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Trust in Healthcare, Medical Mistrust, and Health Outcomes in Times of Health Crisis: A Narrative Review by Elisavet Souvatzi, Magdalini Katsikidou, Aikaterini Arvaniti, Spyridon Plakias, Anna Tsiakiri, Maria Samakouri

“…The research methods comprised content analysis, thematic analysis, and a word cloud visualization to identify frequent themes related to trust and mistrust in healthcare systems. …”
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Sentiment Analysis of Suicide on X Using Support Vector Machine and Naive Bayes Classifier Algorithms by M. Fariz Fadillah Mardianto, Bagas Shata Pratama, Marfa Audilla, Elly Pusporani

“…Conclusion: The SVM algorithm with a linear kernel achieved 80% accuracy and an identical ROC-AUC score. Word cloud visualization highlighted terms like "kill," "self," "depression," and "stress" as key negative sentiments. …”
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Exploring Socioeconomic Challenges Using Latent Dirichlet Allocation and Text Mining: Convergence Points Between World Bank and The International Monetary Fund Reports by Yasmine Derradj, Rachid Toumache

“…By employing R software, structured data were extracted from unstructured textual content, utilizing Word Cloud visualization, "beta" frequencies for topic construction, and "gamma" proportions for topic relevance. …”
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NEUF: Learning Point Cloud Quality by Non-Euclidean Fast Filtering by Eleonora Di Salvo, Azeddine Beghdadi, Tiziana Cattai, Chiara Lumare, Gaetano Scarano, Stefania Colonnese

“…We propose a method to estimate point cloud visual quality by jointly assessing geometry and color noise in areas critical to visual perception. …”
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Sentiment Classification of Public Perception on LHKPN Using SVM and Naive Bayes by Ahmad Rijal Hermawan Hermawan, Isa Faqihuddin Hanif

“…To uncover frequently occurring topics, WordCloud visualizations were generated. These revealed that positive tweets often included words such as ‘lapor’ and ‘transparan’, while negative ones were more likely to contain terms like ‘bohong’ and ‘korupsi’. …”
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