Description: Linguistic anomaly detection is the process of identifying unusual patterns in textual data using artificial intelligence (AI) techniques. This approach relies on analyzing large volumes of text to uncover behaviors or characteristics that deviate from what is considered normal. Anomalies can manifest in various forms, such as grammatical errors, unexpected changes in writing style, or the appearance of unusual terms in specific contexts. Linguistic anomaly detection is crucial in the field of cybersecurity, where it can help identify fraud or phishing attacks through the analysis of language used in emails or messages. Additionally, it is applied in content moderation on digital platforms, where the goal is to detect hate speech or misinformation. AI techniques, such as machine learning and natural language processing, enable systems to learn from data and continuously improve their ability to identify anomalies, making it a powerful tool for information management and online security.
