Treffer: A Review of Artificial Intelligence for Sentiment Analysis in Social Media Data

Social media sentiment analysis has benefited from the miracle of artificial intelligence (AI), mainly how it can handle large, conflated data sets and distill valuable insights. In this review, the authors consider the positive impact of AI in business, health care, politics, and social justice, including marketing, mental health screening, misinformation, and multilingualism. Using ML and NLP, artificial intelligence technologies empower real-time analysis of the social trends and behaviors that affect decision-making and social interactions. However, many challenges are still reflected in data imbalance, ethical concerns relating to privacy and consent, and difficulties in processing dynamic content and several modalities, languages, and emotional states. Such limitations call for interdisciplinary collaboration and comprehensible ethical guidelines, including the FAIR principles for bettering data stewardship and ensuring no biases in AI systems. When developed as scalable, context-aware, and equitable systems, opinion mining may help solve social dilemmas and build an inclusive digital environment. Based on current trends, challenges, and suggested future directions, this review underlines the need for ethical, interdisciplinary, and culturally sensitive approaches to unlock the proper potential of AI in SA and social media sentiments.