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A literature survey on multimodal and multilingual automatic hate speech identification
Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …
about any topic or article, which consequently leads to unstructured toxic, and hateful …
Twitter hate speech detection: A systematic review of methods, taxonomy analysis, challenges, and opportunities
Hate speech detection has substantially increased interest among researchers in the
domain of natural language processing (NLP) and text mining. The number of studies on this …
domain of natural language processing (NLP) and text mining. The number of studies on this …
Impact of SMOTE on imbalanced text features for toxic comments classification using RVVC model
Social media platforms and microblogging websites have gained accelerated popularity
during the past few years. These platforms are used for expressing views and opinions …
during the past few years. These platforms are used for expressing views and opinions …
Comparing Bag of Words and TF-IDF with different models for hate speech detection from live tweets
Social media platforms such as Twitter have revolutionized online communication and
interactions but often contain components of disdain for its growing user base. This …
interactions but often contain components of disdain for its growing user base. This …
Hate speech dataset from a white supremacy forum
Hate speech is commonly defined as any communication that disparages a target group of
people based on some characteristic such as race, colour, ethnicity, gender, sexual …
people based on some characteristic such as race, colour, ethnicity, gender, sexual …