Patterns of communication within the family are among the most important factors affecting individuals’ mental health and social balance, as the style of interaction and dialogue among family members impacts children and adolescents’ ability to express emotions, develop healthy social skills, and cope with daily pressures. Studying family communication patterns relies on collecting data from written or spoken conversations, which are then analyzed using natural language processing (NLP) techniques, allowing computers to understand text, analyze context, emotion, and content accurately. These techniques provide advanced tools to analyze keywords, sentence structures, pronoun usage, punctuation marks, and to identify prevailing emotions such as anger, love, anxiety, or sadness. This data helps build a comprehensive model for understanding family communication, identifying strengths and weaknesses in dialogue patterns, and detecting emotional or social issues before they escalate. Machine learning algorithms can be integrated with this analysis to predict outcomes of communication, such as children’s ability to express themselves or emerging tension among family members, offering opportunities for practical guidance to improve the quality of family interactions. The system can also provide customized recommendations for each family based on analysis and monitor development over time. This technology reflects the importance of integrating AI with social sciences to understand human behavior in non-traditional ways and offer practical solutions that help families enhance positive communication and create a supportive environment for members. NLP-based family communication analysis also allows the study of cultural and social influences on family dialogue and understanding how communication styles differ across communities or regions, adding a significant research dimension in social studies. Additionally, this data can be used to develop educational or advisory applications that assist psychologists or social counselors in providing early support and promoting overall family mental health. In this way, analyzing family communication patterns using NLP represents an innovative step toward integrating AI with social and human sciences, reflecting the vast potential of this technology to improve individuals’ and communities’ quality of life.