يعرض 1 - 20 نتائج من 1,015 نتيجة بحث عن 'multiple model detection algorithm', وقت الاستعلام: 0.29s تنقيح النتائج
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    Algorithm detection performance. حسب Kangning Li (6069629)

    منشور في 2024
    الموضوعات:
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    The Es algorithm. حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"
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    The DCMs algorithm. حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"
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    The CDWRL algorithm. حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"
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    The BEs algorithm. حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"
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    The BMEs algorithm. حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"
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    MC-BMEs algorithm. حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"
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    The TRLM2 algorithm. حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"
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    Checking Algorithm (CA). حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"
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    The BMs-MEs algorithm. حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"
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    The TRL1 algorithm. حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"
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    The TRL2 algorithm. حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"
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    The RBPsWRL-Sym algorithm. حسب Zainab Mansur (18196408)

    منشور في 2024
    "…As letters are often repeated in words used to construct social media messages, these types of words should be eliminated or reduced in number to enhance the efficacy of hate speech detection. Although multiple models have attempted to normalize out-of-vocabulary (OOV) words with repeated letters, they often fail to determine whether the in-vocabulary (IV) replacement words are correct or incorrect. …"