Discover five real-world applications of NLP, including sentiment analysis, chatbots, machine translation, text summarization and speech recognition.

Natural language processing (NLP) is an umbrella term encompassing a variety of techniques that process or analyze large volumes of unstructured natural speech and text.

Key Advancements in AI-Powered NLP AI-powered NLP is changing how machines process human language. Recent progress is paving the way for smarter, faster, and more intuitive tools.

NLP is already having a significant impact on the field of cybersecurity, where its ability to recognize patterns in communication has proven invaluable in the war against advanced phishing.

But Why Natural Language Processing? NLP is an emerging technology that drives many forms of AI you're used to seeing.

Teaching computers to make sense of human language has long been a goal of computer scientists. Natural language processing algorithms aim to make sense of it.

Neural matching, BERT, and other NLP techniques from Google Google’s quest to understand the nuance of human language has led it to adopt several cutting-edge NLP techniques.

What is natural language processing? Natural language processing, or NLP, is currently one of the major successful application areas for deep learning, despite stories about its failures.

Language, a journal of the Linguistic Society of America (LSA), has appeared continuously since 1925 (4 issues per year). It publishes scholarly articles that report on original research covering the ...