Can AI help me automatically generate keywords in academic research?

AI can automatically generate keywords for academic research, enhancing efficiency and discovery potential. This approach leverages natural language processing to analyze text data and identify relevant terms. Key principles involve computational linguistics algorithms extracting salient terms from titles, abstracts, or full texts. Necessary conditions include clear research objectives and high-quality input data to ensure relevance. The scope covers tasks like literature review systematization or metadata tagging, while limitations stem from potential oversights or thematic biases. Human oversight remains essential to validate contextual appropriateness and address semantic ambiguities. AI-generated keywords streamline systematic reviews and bibliometric analyses by identifying emerging themes and semantic clusters. They accelerate literature searches, improve paper discoverability in databases like Scopus or PubMed, and assist in refining research questions. This technology thus optimizes scholarly workflow precision and interdisciplinary knowledge mapping.