Sentiment analysis (SA) is a powerful computational technique in computational linguistics that allows machines to understand and analyze human sentiment expressed in language. In this article, we discuss the evolution of SA techniques, their daily applications, and the ethical challenges they pose. Integrating viewpoints of machine learning, linguistics, and social sciences, we highlight how SA is transforming industries while battling its limitations and overall societal impact. This review, targeted at practitioners and researchers, highlights the importance of ethical standards and cross-disciplinary collaboration in ensuring the ethical use of SA.

sentiment analysis, natural language processing, ethical AI, machine learning, computational linguistics

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