Keyword Extraction
Keyword extraction is a natural language processing (NLP) technique that automatically identifies and extracts the most relevant words or phrases from a text document. It involves analyzing text to determine key terms that represent the main topics or themes, often using statistical, linguistic, or machine learning methods. This process is widely used in information retrieval, text summarization, and content analysis to enhance searchability and understanding of large datasets.
Developers should learn keyword extraction when building applications that involve text analysis, such as search engines, recommendation systems, or document summarization tools. It is essential for improving user experience by enabling features like automatic tagging, topic modeling, and content categorization in domains like e-commerce, news aggregation, and academic research. Mastering this skill helps in processing unstructured text data efficiently and extracting actionable insights.