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111 results for “Social Class”
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Research ArticleOpen accessIn the abstractIntegrated Assessment of Water Resource Sustainability in the Upper Amojú River Basin, Northern Peruvian AndesJuan Eduardo Suarez-Rivadeneira, Freddy A. Manayay, Mayra Pamela Musayón Diaz et al.This study presents a comprehensive, statistically robust assessment of water resource sustainability in the upper section of the Amojú River Basin, Province of Jaén northern Peruvian Andes, using the Sarandón multi-cirteria methodology. A stratified convenience sample of n = 887 households distributed across 22 localities was surveyed, achieving a margin of error of ±2.61% at the 95% confidence level (finite-population … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 26 Sep 2026 · 719 accessesView PDFCite
Research ArticleOpen accessIn the abstractMining of Social Media on Covid-19 Big Data Infodemic in IndonesiaFaisal Binsar, Tuga MauritsiusCovid-19 is an unprecedented disaster that is still difficult to contain. During the pandemic, there were a lot of cases that were reported to increase exponentially. In this situation, the dissemination of messages and information was very important. The social media platform has contributed as a channel of communication with unprecedented speed. However, the uncontrolled and irresponsible dissemination of information … …Journal of Computer Science, Vol. 16, Issue 11 · 16 Nov 2020 · 7,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractUrban Renewal through Sustainable Development: A Case Study in IranS. Hessam Miri, S. Behnam Miri, Mohammad Rasoul MaghsoudiDecayed urban areas, especially those located in the city center, are one of the major problems of cities. These areas, which known as the main nucleus of cities at the time of their emergence, have lost their previous prosperity and importance due to several reasons such as the deterioration of their properties, the immigration of their original residents and the … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 9 Jan 2020 · 8,377 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Public Sentiment on Demonetization Using SVM: A Machine Learning ApproachKaliappan M, Guruprakash B, Rajalakshmi et al.The Indian economy experienced significant disruption following the implementation of demonetization, a policy initiative aimed at eliminating black money, controlling inflation, and promoting financial inclusion. However, this currency ban generated widespread debate and polarized public opinion. This study analyzes public sentiment toward demonetization using social media data, specifically Twitter posts characterized by mixed sentiments, sarcasm, and nuanced linguistic expressions. We … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 2,235 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwitter Sentiment Analysis Using Machine Learning and Deep Learning TechniquesSafa Khalid Al Sarayrah, Noor Mahmoud Alkudah, Hesham Yousef Al-kharabshehThis research investigates the use of Machine Learning (ML) and Deep Learning, including BiLSTM approaches, for Sentiment Analysis (SA) of consumer reviews on social media sites. Businesses are increasingly depending on online reviews to determine customer satisfaction due to social media's explosive growth. We used three classification models, the assessment of these attitudes uses Naive Bayes (NB), Support Vector Machine … …Journal of Computer Science, Vol. 21, Issue 8 · 1 Sep 2025 · 6,813 accessesView PDFCite
Research ArticleOpen accessIn the abstractEthioLSocMDMTLM: Exploring Application of Topic Modeling for Building Ethiopian Language Social Media Data-Based Multilingual Transformer Language Models for Multilingual Hateful Content DetectionNaol Bakala Defersha, Kula Kekeba Tune, Solomon Teferra AbateThis study proposes topic modeling techniques to develop Ethiopian Language Social Media Data Based Multilingual Transformer Language Models for multilingual hateful content detection. We modified various multilingual pretrained models, investigated the challenges of using pre-trained transformer language models, and built multilingual hateful content detection models. Topic words with rows of 1561, 70, and 1044 extracted from Afaan Oromo, Tigrigna, and … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 5,204 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved SVM with Hyperparameter Tuning for Fake News DetectionAtcharaporn Nachaithong, Kittipol WisaengIn today’s digital age, accessing information has become effortless. An abundance of resources is available online, from trustworthy news outlets providing factual information to unverified opinions shared by anonymous individuals. With the advent of modern technology, social media platforms have revolutionized interaction and staying informed, providing instant access to news and information related to a wide range of topics. They … …Journal of Computer Science, Vol. 20, Issue 10 · 28 Aug 2024 · 5,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractPersonalized Recommendation System: Web of Things Using Modular Density-Based Community DiscoveryVinod Patidar, Jayashree A. Patil, Sonika Thapak et al.Community discovery is the cornerstone and core of study in customized recommendation, assembling group features and social network analysis on the web of things. Conventional community discovery methods, however, struggle with difficulties including low accuracy, delayed convergence, modularity resolution limits and more when dealing with more complicated social networks. Because of this, differential evolution and module density are included in … …Journal of Computer Science, Vol. 20, Issue 9 · 21 Jun 2024 · 5,628 accessesView PDFCite
Research NotesOpen accessIn the abstractEfforts to Know the Rate at which Students Analyze and Synthesize Information in Science and Social Science Disciplines: A Multidisciplinary Bio-Communication StudyDeni Darmawan, Yadi Ruyadi, Wamaungo Juma Abdu, Achmad HufadInformation processing is difficult to observe by most people because it involves self monitoring of one’s thinking. The process under which the cognitive functions is influenced by the rate at which different people analyze and synthesise information. However, though this is true, a measure of the speed in which information is processed is still new within the Indonesian perspective. Currently, … …OnLine Journal of Biological Sciences, Vol. 17, Issue 3 · 25 Aug 2017 · 7,590 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultilevel Mixed Analysis and Mapping on Divorce Problem in UAEFaisal G. KhamisDespite the wealth of research investigating the divorce problem in the developed countries, few and inconsistent studies investigated this problem at emirate-level in developing countries, such as United Arab Emirates (UAE). The Questions are raised whether divorce is changed over time and whether clustering in divorce exists within emirates in UAE. The objectives are to investigate the change in divorce … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 31 Oct 2016 · 7,296 accessesView PDFCite