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29 articles for “Multi-Document”

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Research ArticleOpen accessEvery word in the titleA Multi Layer Perceptron Along with Memory Efficient Feature Extraction Approach for Bengali Document CategorizationQuazi Ishtiaque Mahmud, Noymul Islam Chowdhury, Md MasumIn terms of the total number of speakers in the world Bengali stands as the seventh language and it has been used by approximately 265 million people worldwide. Day by day more people are expressing their views and opinions in Bengali in digital platforms like blogs and social media on various topics. Despite this, very little work has been done … …Journal of Computer Science, Vol. 16, Issue 3 · 28 Mar 2020 · 7,815 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutomatic Multi Document Summarization ApproachesYogan Jaya Kumar, Naomie SalimProblem statement: Text summarization can be of different nature ranging from indicative summary that identifies the topics of the document to informative summary which is meant to represent the concise description of the original document, providing an idea of what the whole content of document is all about. Approach: Single document summary seems to capture both the information well but … …Journal of Computer Science, Vol. 8, Issue 1 · 1 Nov 2011 · 8,712 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFals-Ism: A Graph Isomorphism Framework for Multi-Level Detection of Falsified PDF DocumentsJosue Nguinabe, Franklin Tchakounte et al.Fake Portable Document Format (PDF) documents are disseminated in an incredible rhythm across social media. Negative incidences are obvious but effective solutions identifying falsified items in the PDF are still in need. Unlike determining malicious scripts inserted into the file, this research aims at identifying falsified objects from different layers of the document. Specifically, we introduce Fals-Ism, a novel approach … …Journal of Computer Science, Vol. 19, Issue 5 · 11 May 2023 · 5,527 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA Review on Automatic Text Summarization ApproachesYogan Jaya Kumar, Ong Sing Goh, Halizah Basiron et al.It has been more than 50 years since the initial investigation on automatic text summarization was started. Various techniques have been successfully used to extract the important contents from text document to represent document summary. In this study, we review some of the studies that have been conducted in this still-developing research area. It covers the basics of text summarization, … …Journal of Computer Science, Vol. 12, Issue 4 · 30 Apr 2016 · 10,361 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAN APPROACH FOR TEXT SUMMARIZATION USING DEEP LEARNING ALGORITHMG. PadmaPriya, K. DuraiswamyNow days many research is going on for text summarization. Because of increasing information in the internet, these kind of research are gaining more and more attention among the researchers. Extractive text summarization generates a brief summary by extracting proper set of sentences from a document or multiple documents by deep learning. The whole concept is to reduce or minimize … …Journal of Computer Science, Vol. 10, Issue 1 · 7 Nov 2013 · 7,803 accessesView PDFCite
Research ArticleOpen accessIn the abstractMoringa Oleifera for Enhancing Livestock Performance and Product Quality: A Bibliometric AnalysisEmrobowansan Monday Idamokoro, Augustine Suh NibaThis bibliometric analysis evaluates global research on Moringa oleifera as a feed supplement for enhancing livestock performance and product quality. A total of 95 peer-reviewed articles published between 2002 and 2023 were retrieved from Web of Science. Bibliometric indicators revealed mean citations per document of 19.89, average co-authors per document of 5.14, and an annual research growth rate of 10.73%. … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 19 Feb 2026 · 1,492 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractValidity and Reliability of an Alcohol Withdrawal Clinical Assessment Scale for Use with Acutely Ill Patients: An Abbreviated Version of the CIWA-ArPerry M. Gee, Herschel Knapp, Kevin P. Miller et al.The number of people in the United States admitted to hospitals with alcohol use disorder is increasing. Screening for alcohol dependence is a critical component to prevent alcohol withdrawal syndrome which places both the patient and staff at risk for injury. Management of symptoms includes early identification of at-risk individuals and continuous assessment of symptoms and treatment plans. In light … …International Journal of Research in Nursing, Vol. 8, Issue 2 · 6 Mar 2018 · 14,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractComplex SQL-NoSQL Query Translation for Data Lake ManagementNurhadi, Rabiah Abdul Kadir, Ely Salwana Mat SurinA data lake refers to an extremely large data resource or repository. Data lakes store large amounts of data and use advanced analytics to pair data from multiple sources with different types of structured, semi-structured, and unstructured information. NoSQL databases such as Mongodb, Redis, Neo4j, and Cassandra are nontabular and they store data differently rather than use relational tables. NoSQL … …Journal of Computer Science, Vol. 18, Issue 12 · 19 Dec 2022 · 9,277 accessesView PDFCite
Research ArticleOpen accessIn the abstractA STING Algorithm and Multi-dimensional Vectors Used for English Sentiment Classification in a Distributed SystemVo Ngoc Phu, Vo Thi Ngoc TranSentiment classification is significant in everyday life, such as in political activities, commodity production and commercial activities. Finding a fast, highly accurate solution to classify emotion has been a challenge for scientists. In this research, we have proposed a new model for Big Data sentiment classification in the parallel network environment - a Cloudera system with Hadoop Map (M) and … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 22 Dec 2017 · 7,594 accessesView PDFCite