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Mar 17, 2025Keywords:
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Main Article Content
Hate Speech Detection Using Machine Learning: A Survey
Abstract
Social media platforms provide an opportunity to create and grow anonymous online friends and followers, as well as an online forum for discussion about community life, culture, politics, and other topics. Therefore, hate speech is a growing challenge for society, individuals, policymakers, and researchers. This is the problem we are noticing in our continent and even in our world. Therefore,
studies to identify, and detect hate speech are needed in terms of quality and performance. This paper provides a systematic review of literature in this field, with a focus on techniques like word embedding, machine learning, deep learning techniques, hate speech terminology, and other state-of-the-art technologies with their gaps and challenges.In this paper, we have made a systematic review of the last 6 years of literature.Furthermore, limitations, along with algorithm selection and use challenges, data collection, and cleaning challenges, and future research directions are discussed in detail.
