Slang language Detection and Identification In Text

The prevalence of internet slang in modern communication channels, such as the internet and mobile services, has led to the emergence of new linguistic phenomena. While some of these terms are previously registered words with new applications, others fall into the category of out-of-vocabulary slang. Dismissing internet slang and replacing it with unfamiliar phrases is no longer viable, as these terms carry significant connotations in social media writings. This research paper focuses on the detection and identification of slang words using a range of techniques. The study aims to improve the understanding of internet slang and enable accurate interpretation of social media texts. By employing various methods, the research achieved a high accuracy rate of 95.37% in detecting slang words within sentences. The results of this research emphasize the significance of accurately identifying and understanding internet slang in social media posts. Accurately identifying and interpreting these terms enhances our ability to understand the nuances and context of online conversations. The high detection accuracy showcases the effectiveness of the employed techniques and contributes to the field of natural language processing. By continuously improving the detection and identification of internet slang, deeper insights can be gained into the evolving linguistic landscape of online communication.