## 1 Introduction  
Banglades has seen a remarkable increase in its use of the Internet over the past two decades. There were more than 125 million Internet users in Bangladesh as of November 2022, according to the Bangladesh Telecommunication Regulatory Commission (BTRC) [1]. Additionally, with the help of the implementation of the Digital Bangladesh initiative [2], the vast majority of people in Chittagong [3], Bangladesh's second-largest city, now have access to the Internet and actively use social media. According to a survey [4], the number of Facebook users in Bangladesh is the highest among social media (seeFigure 1). Moreover, with the benefit of Unicode being widely used on most communication devices, such as tablets or smartphones, speakers of underrepresented languages, such as Chittagonian, can express their thoughts in their native languages and dialects. Many people in Chittagong now use social media on a regular basis, regularly using platforms like Facebook [5], imo [6], various blogs, and WhatsApp [7]. These platforms offer a venue where people can express themselves freely and informally. However, the pervasiveness of social media has also resulted in unfavorable influences that are difficult to shake. Excessive use of social media has the potential to cause addiction [8], which as a result could cause young people to spend more time on these platforms than they spend with their family and friends [9]. Their general health and social interactions may suffer as a result of this addiction. Additionally, social media witnesses the growing problem of the increase in online abuse and cyberbullying, which can have a negative impact on a person's self-esteem and even violate their privacy [10]. The spread of misinformation and hatred online has also contributed to an uptick in violent crimes in society [11]. Receiving messages with vulgar language is a startling realization of this unwelcome and damaging phenomenon. The likelihood of encountering such vulgar remarks rises as social media use increases. Vulgarity or obscenity with regards to language refers to terms used to describe the use of vulgar language, such as swearing, taboo words, or offensive expressions [12; 13]. Unfortunately, such language has become more and more common in contemporary culture [14], especially on social media sites like Twitter [15]. The majority of the time, however, vulgar language is used in the context of online harassment and negativity. While there are some instances where vulgar language may be used in a positive context to convey informality, express anger, or establish a sense of belonging with a particular group [16], these are usually rare in comparison to its use in negative contexts or in closed message groups. Therefore, detecting such use of language quickly and effectively is necessary to allow social media platforms to efficiently moderate their contents. Therefore, the goal of this research was to find and evaluate vulgar remarks in the Chittagonian dialect of Bangla. Chittagonian is a member of the Indo-Aryan language family [17] and is spoken by between 13 and 16 million people, most of whom live in Bangladesh [18]. Although some linguists categorize it as a distinct language, Chittagonian is frequently used together with Bengali and has its own pronunciation, vocabulary, and grammar [19]. In this paper, we present a system for automatic detection of vulgar remarks in an effort to combat the growing problem of vulgar language online. To achieve  
Figure 1: Yearly social media usage statistics in Bangladesh as of March 2023 [4]. this we apply various machine learning (ML) and deep learning (DL) algorithms, such as logistic regression (LR) or recurrent neural networks (RNN). We also use a variety of feature extraction techniques to expand the system's functionality.