Natural Language Processing (NLP), a branch of artificial intelligence, is transforming various sectors by enabling computers to interpret, analyze, and generate human language. NLP combines linguistics, computer science, and machine learning to support applications like chatbots, sentiment analysis, and text summarization. This review explores NLP’s impact across multiple industries, highlighting its ability to improve efficiency, enhance decision-making, and personalize services. In healthcare, NLP aids in patient care, clinical research, and administrative tasks. In finance, it facilitates market analysis, customer service, and fraud detection. The retail sector leverages NLP to analyze consumer behavior and improve customer interactions, while the legal industry benefits from automated document analysis and contract management. Education uses NLP for personalized learning and real-time language assistance, and media relies on it for content creation and audience engagement. In government, NLP improves citizen services, crime prevention, and transparency. While NLP offers numerous benefits, challenges like data privacy and ethical considerations remain areas for further research and development.

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NLP in Action: Case Studies from Healthcare, Finance, and Industry

  • Shweta,
  • Hifzan Ahmad

摘要

Natural Language Processing (NLP), a branch of artificial intelligence, is transforming various sectors by enabling computers to interpret, analyze, and generate human language. NLP combines linguistics, computer science, and machine learning to support applications like chatbots, sentiment analysis, and text summarization. This review explores NLP’s impact across multiple industries, highlighting its ability to improve efficiency, enhance decision-making, and personalize services. In healthcare, NLP aids in patient care, clinical research, and administrative tasks. In finance, it facilitates market analysis, customer service, and fraud detection. The retail sector leverages NLP to analyze consumer behavior and improve customer interactions, while the legal industry benefits from automated document analysis and contract management. Education uses NLP for personalized learning and real-time language assistance, and media relies on it for content creation and audience engagement. In government, NLP improves citizen services, crime prevention, and transparency. While NLP offers numerous benefits, challenges like data privacy and ethical considerations remain areas for further research and development.