Results 1 to 10 of about 625,167 (118)
N-gram MalGAN: Evading machine learning detection via feature n-gram
Digital Communications and Networks, 2022 In recent years, many adversarial malware examples with different feature strategies, especially GAN and its variants, have been introduced to handle the security threats, e.g., evading the detection of machine learning detectors.
Enmin Zhu +4 more
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Similarity Identification Based on Word Trigrams Using Exact String Matching Algorithms
Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi, 2022 Several studies regarding excellent exact string matching algorithms can be used to identify similarity, including the Rabin-Karp, Winnowing, and Horspool Boyer-Moore algorithms.
Abdul Fadlil +2 more
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Semantic N-Gram Topic Modeling [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 In this paper a novel approach for effective topic modeling is presented. The approach is different fromtraditional vector space model-based topic modeling, where the Bag of Words (BOW) approach is followed.The novelty of our approach is that in phrase ...
Pooja Kherwa, Poonam Bansal
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Stemmer and phonotactic rules to improve n-gram tagger-based indonesian phonemicization
Journal of King Saud University: Computer and Information Sciences, 2022 A phonemicization or grapheme-to-phoneme conversion (G2P) is a process of converting a word into its pronunciation. It is one of the essential components in speech synthesis, speech recognition, and natural language processing.
Suyanto Suyanto +4 more
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Small world of the miRNA science drives its publication dynamics
Вавиловский журнал генетики и селекции, 2023 Many scientific articles became available in the digital form which allows for querying articles data, and specifically the automated metadata gathering, which includes the affiliation data.
A. B. Firsov, I. I. Titov
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Simultaneous Removal of Prefix and Suffix [PDF]
Vietnam Journal of Computer Science, 2020 This work is an attempt to devise a Stemmer that can remove both prefix and suffix together from a given word in English language. For a given input word, our method considers all possible internal N-grams for detection of potential stems.
Pawan Tamta, B. P. Pande
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N-gram models for Text Generation in Hindi Language [PDF]
ITM Web of Conferences, 2022 Native language plays a vital role for communication. Hindi is preferred by most Indians and it is the fifth most spoken language in the world. Hence, to make User Experience more effective while interacting with Software Applications, we aim to build a ...
Ghude Tejashree +4 more
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Political Arabic Articles Orientation Using Rough Set Theory With Sentiment Lexicon
IEEE Access, 2021 Sentiment analysis is an emerging research field that can be integrated with other domains, including data mining, natural language processing and machine learning.
Jwan K. Alwan +5 more
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N-gram and Kernel Performance Using Support Vector Machine Algorithm for Fake News Detection System
Ilkom Jurnal Ilmiah, 2023 The modern technological advancements have made it simpler for fake news to circulate online. The researchers have developed several strategies to overcome this obstacle, including text classification, distribution network analysis, and human-machine ...
Deny Jollyta +3 more
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Features of Distributional Method for Indonesian Word Clustering
JEPIN (Jurnal Edukasi dan Penelitian Informatika), 2019 We described the results of a study to determine the best features for algorithm EWSB (Extended Word Similarity Based). EWSB is a word clustering algorithm that can be used for all languages with a common feature.
Herry Sujaini
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