IJBTT

Hinglish Profanity Filter and Hate Speech Detection
	© 2023 by IJCTT Journal
	Volume-71 Issue-2
	Year of Publication : 2023
	Authors : Nirali Arora, Aartem Singh, Laik Shaikh, Mawrah Khan, Yash Devadiga
	DOI :  10.14445/22312803/IJCTT-V71I2P101

How to Cite?

Nirali Arora, Aartem Singh, Laik Shaikh, Mawrah Khan, Yash Devadiga, "Hinglish Profanity Filter and Hate Speech Detection," International Journal of Computer Trends and Technology, vol. 71, no. 2, pp. 1-7, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I2P101

Abstract
Freedom of speech is highly valued on the Internet, yet it is frequently also abused there. Events such as social media applications have become necessary instead of luxury. Many children and young teenagers at a tender age are introduced to this content and are prone to verbal abuse or exposed to illegitimate content or deadlines. There are no constraints or regulations to prevent the flow of hatred and violent content; this nature of the Internet inevitably gives rise to soul stigmas such as cyberbullying and cybercrime, which can impact the minds of children and young teenagers in society. The use of a profanity filter censors out all the above content. The hate filter recognizes hate speech and blocks any hateful material, making the application suitable for kids[2]. The paper proposes a hate speech detector along with a profanity filter algorithm. One of the simulation findings demonstrates that when considering profanity as noise input in the sentiment classification for review data, accuracy decreased by roughly 2%[10]

Keywords
Censorship, Corpus, Filtering, Profanity filtering, Tokenization.

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