Search Results - (( developing sentence visualization algorithm ) OR ( java implication from algorithm ))

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  1. 1

    BMTutor research design: Malay sentence parse tree visualization by Muhamad Noor, Yusnita, Jamaludin, Zulikha

    Published 2014
    “…As a result of the lack of models and algorithms have been introduced in both parsers, the model and algorithm development phase is introduced in the design of BMTutor.Output from the development process shows that the prototype is able to provide sentence correction for all 15 invalid sentences and can produce parse tree visualizations for all 20 sentences used for prototype testing.…”
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    Conference or Workshop Item
  2. 2

    Parse tree visualization for Malay sentence (BMTutor) by Muhamad Noor, Yusnita, Jamaludin, Zulikha

    Published 2015
    “…BMTutor is a prototype for visualizing Malay sentence combined with sentence checker, sentence correction and word attribute components.BMTutor is intended to facilitate the learning process of sentence construction and grammatical structure in BM. …”
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    Article
  3. 3

    Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu by Yusnita, Muhamad Noor

    Published 2018
    “…Previous works that produce syntactic tree output has disregarded additional relevant components such as sentence checking, sentence correction, the syntax tree visualization and the words attributes of each sentence. …”
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    Thesis
  4. 4

    E-Hadith DV: Hadith scriptures in Syafie Madhhab retrieval using data visualization / Nor Faezahtul Salme Norhisam by Norhisam, Nor Faezahtul Salme

    Published 2020
    “…For this project, it will use Agile methodology that has five phases, which are requirement analysis phase, design phase, development phase, testing phase and maintenance. Therefore, a progressive web-based information retrieval visualization system that utilizes Term Frequency-Inverse Document Frequency (TFIDF) algorithm and data visualization are suggested to solve these problems. …”
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    Thesis
  5. 5

    Sentiment analysis of restaurant reviews in Kuala Terengganu based on K-Nearest Neighbor/ Siti Syazwana Jafri by Jafri, Siti Syazwana

    Published 2021
    “…The chosen technique is classification and the algorithm that will be applied in the classification process is K- Nearest Neighbor (KNN). …”
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    Thesis
  6. 6

    Sentiment analysis on national cultural tourism using Linear Support Vector Machine (LSVM) / Nur Haida Hanna Samsuddin by Samsuddin, Nur Haida Hanna

    Published 2020
    “…A classifier will be designed and developed which is Linear Support Vector Machine (LSVM). …”
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    Thesis
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  8. 8

    Deep learning framework for hierarchical-based object identification and description by Alamro, Loai C. A.

    Published 2024
    “…Therefore, HIDF can be employed in CV applications, including but not limited to visually impaired aids, and robot guidance.…”
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    Thesis
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