Schools help teach important values to students, such as respect, kindness, fairness, and responsibility. Schools teach students good behaviors and positive attitudes toward other people and their community through lessons, interactions, and different activities. Educational institutions play a crucial role in teaching fundamental values to students, such as compassion, and respect for their peers. Schools provide places where students learn to connect, recognize social rules, and build a sense of responsibility and community. This research analyzes the role of schools in framing social values by using the machine learning algorithm (Latent Dirichlet Allocation algorithm and Sentiment Analysis technique). Latent Dirichlet Allocation (LDA) is a statistical model used for topic modeling in large text datasets. It discovers hidden topics by analyzing word patterns and assigns each document to a mix of topics, helping identify underlying themes in the data. Sentiment Analysis is a technique used to determine the emotional tone of a text. It classifies text as positive, negative, or neutral, helping to analyze opinions, attitudes, and feelings expressed in social media. This study aims to understand how schools influence social values by looking at what is taught in schools using a method called LDA to find important social ideas and use Sentiment Analysis to see how students feel about them to gain the information that can help improve teaching values in education. The future scope of a field refers to its potential for growth, innovation, and development. It involves emerging trends, and technological advancements for offering opportunities for further research, improvement, and real-world applications in various education domains.