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126 articles for “Information Extraction (IE)”
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Research ArticleOpen accessAll words, across the recordAN IMPROVED ARABIC WORD'S ROOTS EXTRACTION METHOD USING N-GRAM TECHNIQUENidal Yousef, Aymen Abu-Errub, Ashraf Odeh, Hayel KhafajehArabic language is distinguished by its morphological richness, which forces the workers in the field of Arabic language Processing (i.e., information retrieval, document's classification, text summarizing) to deal with many words that seem to be different but in reality they came from an identical root word. One of the methods to overcome this problem is to return the words to … …Journal of Computer Science, Vol. 10, Issue 4 · 26 Dec 2013 · 7,394 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSPEECH/MUSIC CLASSIFICATION USING WAVELET BASED FEATURE EXTRACTION TECHNIQUESThiruvengatanadhan Ramalingam, P. DhanalakshmiAudio classification serves as the fundamental step towards the rapid growth in audio data volume. Due to the increasing size of the multimedia sources speech and music classification is one of the most important issues for multimedia information retrieval. In this work a speech/music discrimination system is developed which utilizes the Discrete Wavelet Transform (DWT) as the acoustic feature. Multi … …Journal of Computer Science, Vol. 10, Issue 1 · 8 Nov 2013 · 6,846 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLEAF FEATURES EXTRACTION AND RECOGNITION APPROACHES TO CLASSIFY PLANTMohamad Faizal Ab Jabal, Suhardi Hamid, Salehuddin Shuib, Illiasaak AhmadPlant classification based on leaf identification is becoming a popular trend. Each leaf carries substantial information that can be used to identify and classify the origin or the type of plant. In medical perspective, images have been used by doctors to diagnose diseases and this method has been proven reliable for years. Using the same method as doctors, researchers try … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 7,367 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 · 8,549 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordApplications of Nature-Inspired Algorithms in Different Aspects of Semantic WebDeepika Chaudhary, Jaiteg Singh, D. P. KothariNature has always inspired us all the waggle dance of Honey bee, the school of whales and the swarm of ants, each element when observed carefully has the abundance of teachings. If we carefully observe nature, we find that although Nature seems to be very simple and systematic, it hides many complexities underneath it. As technology also follows the same … …Journal of Computer Science, Vol. 14, Issue 2 · 14 Feb 2018 · 8,765 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHuman Iris Recognition Based on Hybrid TechniqueAsaad Noori Hashim, Bushraa Mahdi Al-HashimiIris recognition is a biometric technique that uses iris pattern information to detect person identification. Initially, the system find out the boundary of the pupil and iris. Then, Circular Hough transform used to find out the center of both pupil and iris in order to crop iris part from the eye image. After that, Daugman’s Rubber Sheet model utilized for … …Journal of Computer Science, Vol. 15, Issue 12 · 4 Dec 2019 · 7,807 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordProtein Sequences Features Extraction for Predicting Beta- Turns and their Types: A ReviewMurtada Khalafallah Elbashir ElfakiBeta-turns are considered to be important secondary structure types that have essential role in molecular recognition, protein folding and stability. They represent 25% of protein structures, therefore they are the most common type of non-repetitive or tight turns structures. Their prediction is considered to be an important issue in bioinformatics and molecular biology, because it provides valuable information and inputs … …Journal of Computer Science, Vol. 15, Issue 9 · 1 Oct 2019 · 7,701 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKSSaini Jacob Soman, S. MurugappanIn today's world, the issue of identifying spammers has received increasing attention because of its practical relevance in the field of social network analysis. The growing popularity of social networking sites has made them prime targets for spammers. By allowing users to publicize and share their independently generated content, online social networks become susceptible to different types of malicious and … …Journal of Computer Science, Vol. 10, Issue 10 · 8 Jul 2014 · 6,761 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordRecognition of Hand Printed Characters Based on Simple Geometric FeaturesSami M. Halawani, Ibrahim A. AlbidewiProblem statement: The use of computers in information processing technology nowadays is one of the main trends of office automation. For more than four decades, information from the outside world is transferred into computers in a traditional way by keying in these raw data with the help of keyboard. Most of these data are in hand printed form and very … …Journal of Computer Science, Vol. 6, Issue 12 · 30 Nov 2010 · 7,133 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Efficient Approach to Hide Compressed Voice Data in Arabic Text using Kashida and "La"Sabeeka M. Al-Oun, Jehad Q. Odeh AlnihoudIn this research, we propose a new approach to increase the capacity and enhance the reliability of hiding voice data in Arabic text. Using Kashida to hide bits in Arabic text is one of the most promising approaches in steganography. Unfortunately, ignoring the original Kashida in the cover text may affect the results significantly and produce inaccurate results in the … …Journal of Computer Science, Vol. 13, Issue 3 · 28 Mar 2017 · 7,790 accessesView PDFCite