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Aplikasi Sistem Pencarian Lagu menggunakan Algoritma Levenshtein Distance
Journal of Technopreneurship and Information System (JTIS), 2019 Saat ini dalam kehidupan sehari-hari manusia tidak terlepas dari suara musik baik itu di dalam rumah maupun di luar rumah. Adanya musik di dalam kehidupan manusia sangat bermanfaat karena musik sebagai relaksasi untuk melepas stress, atau untuk mengubah suasana.
Yulia Darnita, Muntahanah Muntahanah
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Techno.ComPencarian data pada platform PUSDATA masih terkendala kesalahan pengetikan (typo) dan perbedaan istilah yang digunakan pengguna. Hal ini menyebabkan pencarian gagal menemukan data yang relevan jika terjadi kesalahan kecil dalam penulisan kata kunci ...
Taslim Taslim +2 more
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Penerapan Knowledge Management System Menggunankan Algoritma Levenshtein
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2019 Knowledge management (KM) is an important thing to store or possess existing knowledge. The difficulty of getting knowledge that has actually been known for a long time about special planning for new information is to repair a certain position, in this ...
Orissa Octaria +2 more
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End-to-End Speech Recognition Sequence Training With Reinforcement Learning
IEEE Access, 2019 End-to-end sequence modeling has become a popular choice for automatic speech recognition (ASR) because of the simpler pipeline compared to the conventional system and its excellent performance.
Andros Tjandra +2 more
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ICTACT Journal on Soft Computing, 2018 Retrieval of mathematical text from data is a key predicament in present circumstances. To achieve this, we have considered three different algorithms viz., Sequence matcher, Levenshtein Distance and Fuzzy-Wuzzy. Two different variants of Fuzzy-Wuzzy are
G. Appa Rao +3 more
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Sentiment Classification of Movie Reviews using Levenshtein Distance
Journal of Digital Contents Society, 2013 In this paper, we propose a method of sentiment classification which uses Levenshtein distance. We generate BOW(Bag-Of-Word) applying Levenshtein daistance in sentiment features and used it as the training set. Then the machine learning algorithms we used were SVMs(Support Vector Machines) and NB(Naive Bayes).
Kwang-Mo Ahn +3 more
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Slice Distance: An Insert-Only Levenshtein Distance with a Focus on Security Applications
2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), 2018 Levenshtein distance is well known for its use in comparing two strings for similarity. However, the set of considered edit operations used when comparing can be reduced in a number of situations. In such cases, the application of the generic Levenshtein distance can result in degraded detection and computational performance.
Afzal, Zeeshan +3 more
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Matching health information seekers' queries to medical terms
BMC Bioinformatics, 2012 Background The Internet is a major source of health information but most seekers are not familiar with medical vocabularies. Hence, their searches fail due to bad query formulation.
Soualmia Lina F +4 more
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One-Gapped q-Gram Filters for Levenshtein Distance [PDF]
, 2002 We have recently shown that q- gram filters based on gapped q-grams instead of the usual contiguous q-grams can provide orders of magnitude faster and/or more efficient filtering for the Hamming distance. In this paper, we extend the results for the Levenshtein distance, which is more problematic for gapped q-grams because an insertion or deletion in a
Burkhardt, S., Kärkkäinen, J.
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PLD2flex: Establishing the Phonological Levenshtein Distance for Pairs or Groups of (Pseudo)Words
Journal of Open Research SoftwareEstablishing the phonological Levenshtein distance (PLD) of words and pseudowords is useful for various psycholinguistic research applications, such as generating stimuli for experiments on language processing or analysing the PLD between erroneous and ...
Helena Wedig +3 more
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