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31 results for “Term extraction”
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Research ArticleOpen accessIn the abstractRandom Forest Based Feature Selection of Macroeconomic Variables for Stock Market PredictionIsaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam WeyoriA firm’s equity price on the stock-market is reported to be closely related to the Macroeconomic Variable (MVs) of the country in which the firm trades. For this reason, researchers, market traders, financial analysts and forecasters to examine the association between MVs and stock-price have carried out numerous studies, using time-series statistical analysis methods like Autoregressive Integrated Moving Average (ARIMA), … …American Journal of Applied Sciences, Vol. 16, Issue 7 · 31 Jul 2019 · 10,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractSimulation Model for Feasibility Studies on Bioremediation of Uranium Mill Tailings using Hyper Accumulator Chrysopogon zizanioidesH. Shanmugasundaram, Sathesh Kumar Annamalai, Kantha Deivi Arunachalam et al.Contamination of environment by uranium is expected in places where mining of uranium ore and processing, nuclear testing and reactor operations when the control measures are not effective. The daughter radionuclides of the ores, chemical additives and residual uranium are the maincomponents of processed waste from uranium industries. The bioremediation of contaminated areas using plant species or group of the … …American Journal of Environmental Sciences, Vol. 12, Issue 6 · 11 Dec 2016 · 8,872 accessesView PDFCite
Research ArticleOpen accessIn the abstractChallenges of Hidden Data in the Unused Area Two within Executable FilesA. W. Naji, A. A. Zaidan, B. B. ZaidanProblem statement: The executable files are one of the most important files in operating systems and in most systems designed by developers (programmers/software engineers), and then hiding information in these file is the basic goal for this study, because most users of any system cannot alter or modify the content of these files. There are many challenges of hidden data … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 7,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Feasibility Study of Challenges and Opportunities in Computational Biology: A Malaysian PerspectiveR. J.A. Richard, N. SriraamThe term computational biology refers to the knowledge derived from a computer analysis of biological data that includes identification of genes in DNA sequence of different organisms, prediction of structural and functional mechanism of proteins, feature extraction and classification of genomics and proteomics. Computational biology is a rapidly developing branch of science and is highly interdisciplinary, using techniques and Concepts … …American Journal of Applied Sciences, Vol. 2, Issue 9 · 30 Sep 2005 · 6,924 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAspect Category Detection Using Bi-LSTM-Based Deep Learning for Sentiment Analysis for HindiAshwani Gupta, Utpal SharmaIn the field of sentiment analysis, the notion of aspect category identification lays emphasis on identifying the aspect categories in a specific review phrase. The purpose of this research is to propose a novel approach to the identification of aspect categories in reviews that are published in Hindi. The training and evaluation of a supervised model that is based on … …Journal of Computer Science, Vol. 20, Issue 11 · 18 Sep 2024 · 4,606 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordA Systematic Literature Review on English and Bangla Topic ModelingMd. Basim Uddin Ahmed, Ananta Akash Podder, Mahruba Sharmin Chowdhury, Mohammad Abdullah Al MuminDue to the enormous growth of information and technology, the digitized texts and data are being immensely generated. Therefore, identifying the main topics in a vast collection of documents by humans is merely impossible. Topic modeling is such a statistical framework that infers the latent and underlying topics from text documents, corpus, or electronic archives through a probabilistic approach. It … …Journal of Computer Science, Vol. 17, Issue 1 · 8 Jan 2021 · 8,545 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordAnalysis of Benzo[a]Pyrene Contamination from an Long-Term Contaminated SoilSvetlana Sushkova, Tatiana Minkina, Abdulmalik Batukaev et al.Analysis of benzo[a]pyrene contamination from an aged contaminated chernozemic, meadow-chernozemic and alluvial soils under the effect of aerotechnogenic emissions from the Novocherkassk regional power plant have been revealed on the basis of annual monitoring studies from 2008 to 2012. A new ecologically clean highly-effective express-method of subcritical water extraction has been developed for determination of benzo[a]pyrene from soils of the … …American Journal of Biochemistry and Biotechnology, Vol. 12, Issue 1 · 16 Nov 2015 · 7,868 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordChi Square Feature Extraction Based Svms Arabic Language Text Categorization SystemAbdelwadood Moh’d A MESLEHThis paper aims to implement a Support Vector Machines (SVMs) based text classification system for Arabic language articles. This classifier uses CHI square method as a feature selection method in the pre-processing step of the Text Classification system design procedure. Comparing to other classification methods, our system shows a high classification effectiveness for Arabic data set in term of F-measure … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 11,057 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordExtended Trigger Terms for Extracting Adverse Drug Reactions in Social Media TextsRami Naim Mohammad Yousef, Sabrina Tiun, Nazlia OmarAdverse Drug Reaction (ADR) is a disorder caused by taking medications. Studies have addressed extracting ADRs from social networks where users express their opinion regarding a specific medication. Extracting entities mainly depends on specific terms called trigger terms that may occur before or after ADRs. However, these terms should be extended, especially when examining multiple representation of N-gram. This study … …Journal of Computer Science, Vol. 15, Issue 6 · 29 Jun 2019 · 8,051 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAutomated Medical Image Captioning with Soft Attention-Based LSTM Model Utilizing YOLOv4 AlgorithmPaspula Ravinder, Saravanan SrinivasanThe medical image captioning field is one of theprominent fields nowadays. The interpretation and captioning of medical imagescan be a time-consuming and costly process, often requiring expert support. Thegrowing volume of medical images makes it challenging for radiologists tohandle their workload alone. However, addressing the issues of high cost andtime can be achieved by automating the process of medical image … …Journal of Computer Science, Vol. 20, Issue 1 · 16 Dec 2023 · 6,651 accessesView PDFCite