The paper proposes a system for Profanity Detection and Saliency Checking in Text to address the need for effective content moderation in applications. Profanity detection is used to identify and flag profane words or phrases in text, while saliency checking determines the importance of individual words or phrases in a given context. The system integrates these functionalities and leverages natural language processing and machine learning techniques. It aims to enhance content moderation, sentiment analysis, and text summarization in applications, contributing to a more engaging and respectful digital environment. The paper also highlights the tangible results achieved by the system and its potential use in various applications. By combining profanity detection and saliency checking, the Salient Feature System offers a multifaceted approach to address the challenges posed by textual data in the digital age.