NamedEntityRecognition

Natural Language Processing: From Text to Insight Natural Language Processing helps machines read, understand, and summarize human language. It turns messy text into facts and ideas you can act on. This field blends linguistics, statistics, and computer science to unlock insights from emails, reviews, articles, and chats. It guides better decisions in business, education, and research. A simple NLP project follows a pipeline. Start with data collection, then cleaning and preprocessing. Next comes modeling, where the text is transformed into numbers the computer can work with. Finally, you evaluate and use the model to make decisions. Each step matters, and keeping goals clear helps you stay focused. ...

Natural Language Processing in Applications Natural language processing (NLP) helps software understand and generate human language. In real apps, NLP improves experiences, guides decisions, and helps users find what they need quickly. The core idea is to turn text and speech into usable data, combining rules, statistics, and modern language models. What NLP can do in real apps: Chatbots and virtual assistants that answer questions Search tools that understand intent and return relevant results Sentiment analysis on reviews and social posts Automatic summarization of long documents Information extraction of names, dates, and places Common techniques you will see in apps: ...