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Research ArticleOpen accessIn the abstractKSWN (Kannada SentiWordNet): Developing a Sentiment Lexicon for Kannada using Translation and Word Embedding TechniquesRashmi Kariganuru Bheemarao, Hassan Sadashiva Guruprasad, Shambhavi Bangalore RaviOpinion Mining has gained significant attention in recent years, especially due to the enormous growth of online content generation. However, finding the opinions expressed in comments and reviews is highly challenging in Indian regional languages due to the lack of annotated datasets. Opinion mining has predominantly been conducted in English, with recent efforts extending to Hindi and other languages. A … …Journal of Computer Science, Vol. 21, Issue 6 · 4 Jul 2025 · 3,386 accessesView PDFCite
Research ArticleOpen accessIn the abstractKRLSMDA: Identifying Human miRNA–Disease Association Based on Similarity and Kronecker Regularized Least Squares MethodLingzhi Zhu, Weimin Gao, Guixiang Li et al.A growing number of studies have suggested that miRNAs (microRNAs) have associations with human diseases, the design and discovery of drug. But so far, we do not yet fully understand the molecular mechanism of miRNAs in the development of human diseases. Predicting miRNA-disease associations is helpful for understanding the molecular mechanism of miRNAs in the development of human diseases. However, … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 15 Mar 2021 · 6,408 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistributional Models with Syntactic Contexts for the Measurement of Word Similarity in Brazilian PortugueseEduardo E. Berlitz, Denis A. Araujo, Allan B. Silva et al.The similarity between words constitutes significant support to tasks in natural language processing. Several works use Lexical resources such as WordNet for semantic similarity and synonym identification. Nevertheless, words out-of-vocabulary or missing links between senses are perceived problems of this approach. Distributional-based proposals like word embeddings have successfully been used to meet such problems, but the lack of contextual information … …Journal of Computer Science, Vol. 15, Issue 10 · 31 May 2019 · 6,824 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Question Answering System on Holy Quran Translation Based on Question Expansion Technique and Neural Network ClassificationSuhaib Kh. Hamed, Mohd Juzaiddin Ab AzizIn spite of great efforts that have been made to present systems that support the user's need of the answers from the Holy Quran, the current systems of English translation of Quran still need to do more investigation in order to develop the process of retrieving the accurate verse based on user's question. The Islamic terms are different from one … …Journal of Computer Science, Vol. 12, Issue 3 · 26 Apr 2016 · 9,848 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrototype-Based Sample Selection for Active HashingCheong Hee ParkSeveral hashing-based methods for Approximate Nearest Neighbors (ANN) search in a large data set have been proposed recently. In particular, semi-supervised hashing utilizes semantic similarity given for a small fraction of pairwise data samples and active hashing aims to improve the performance for ANN search by relying on an expert for the labeling of the most informative points. In this … …Journal of Computer Science, Vol. 11, Issue 7 · 2 Nov 2015 · 6,738 accessesView PDFCite
Research ArticleOpen accessIn the abstractSELECTION OF ONTOLOGY FOR WEB SERVICE DESCRIPTION LANGUAGE TO ONTOLOGY WEB LANGUAGE CONVERSIONJ. Mannar Mannan, M. Sundarambal, S. RaghulSemantic web is to extend the current human readable web to encoding some of the semantic of resources in a machine processing form. As a Semantic web component, Semantic Web Services (SWS) uses a mark-up that makes the data into detailed and sophisticated machine readable way. One such language is Ontology Web Language (OWL). Existing conventional web service annotation can … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,445 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnified Semantic Blog Mining Framework and Summarized Blog RetrievalGodfrey Winster Sathianesan, Swamynathan SankaranarayananIn today’s scenario, publishing the personal content and technical content has become very easy for the publishers, because of the readily available prominent social media called blog. Content developers, teachers, researchers post various articles relevant to their research or newly emerging topics. Blog content in one blog source may resemble the semantics of blog from other source. Readers, who are … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 6,467 accessesView PDFCite
Research ArticleOpen accessIn the abstractOntology Mapping of Indian Medicinal Plants with Standardized Medical TermsG. Vadivu, S. Waheeta HopperProblem statement: World Wide Web (WWW) consisting large volume of information related with medicinal plants. However health care recommendation with Indian Medicinal Plants becomes complicated because valuable Information about medicinal resources as plants is scattered, in text form and unstructured. Search engines are not quite efficient and require excessive manual processing. Therefore search becomes difficult for the ordinary users to … …Journal of Computer Science, Vol. 8, Issue 9 · 16 Aug 2012 · 7,870 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentence Annotation based Enhanced Semantic Summary Generation from Multiple DocumentsA. Kogilavani, P. BalasubramanieProblem statement: The goal of document summarization is to provide a summary or outline of manifold documents with reduction in time. Sentence extraction could be a technique that is employed to pick out relevant and vital sentences from documents and presented as a summary. So there is a need to develop more meaningful sentence selection strategy so as to extract … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 17 May 2012 · 7,008 accessesView PDFCite
Research ArticleOpen accessIn the abstractOntological Approach for Effective Generation of Concept Based User Profiles to Personalize Search ResultsS. Prabaharan, R. S.D. WahidabanuProblem statement: Ontological user profile generation was a semantic approach to derive richer concept based user profiles. It depends on the semantic relationship of concepts. This study focuses on ontology to derive concept oriented user profile based on user search queries and clicked documents.This study proposes concept based on topic ontology which derives the concept based user profiles more independently. … …Journal of Computer Science, Vol. 8, Issue 2 · 21 Nov 2011 · 7,223 accessesView PDFCite