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Detection of Hate or Offensive Phrase using Magnified Tf-Idf
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由 P Nandi 著作2021被引用 2 次 — In the present paper, we propose a tf-idf based binary classification framework that manipulates the scores obtained as the differences between hate and ...
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Detection of Hate or Offensive Phrase using Magnified Tf-Idf
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2024年8月16日 — Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
Detection of Hate or Offensive Phrase using Magnified Tf-Idf
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Detection of Hate or Offensive Phrase using Magnified Tf-Idf ; Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, Gandhinagar, India, ...
Tackling Hateful Speech in Online Social Spaces
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This work establishes why keyword-based methods are insufficient for detection of hateful speech and proposes an approach to detecting hateful speech that ...
Exploring Automatic Hate Speech Detection on Social Media
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This paper presents a survey on automatic hate speech detection on social media, providing a structured overview of theoretical aspects and practical resources.
Hate and Offensive Speech Detection Using Term Frequency
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由 C Okechukwu 著作2023被引用 4 次 — Term Frequency- Inverse Document Frequency (TF-IDF) with a majority voting ensemble learning classification Models were used for the detection of hate speech ...
7 頁
Overview of the HASOC Subtrack at FIRE 2021
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由 T Mandl 著作2021被引用 106 次 — Das, Detection of Hate or Offensive Phrase using Magnified Tf-Idf, in: Forum for Information Retrieval Evaluation (Working Notes) (FIRE) ...
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Gender bias detection on hate speech classification
Springer
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由 FRS Nascimento 著作2024 — For instance, combining TF and TF-IDF with DT and MLP resulted in higher bias, while BERT and RoBERTa showed lower bias with the same classifier ...
The proposed framework for hate speech detection and ...
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For instance, combining TF and TF-IDF with DT and MLP resulted in higher bias, while BERT and RoBERTa showed lower bias with the same classifier for the HE and ...
detection-of-hate-speech-using-text-mining-and-natural- ...
International Journal of Engineering Research & Technology (IJERT)
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International Journal of Engineering Research & Technology (IJERT)
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In feature representation, TFIDF scores obtained the best performance as compared to other combined features. Sentiment scores has also worked significantly ...
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