The Power of Natural Language Processing | How It Works | Real Life Examples
Natural language processing (NLP) is a technology that focuses on the interaction between computers and human language. It allows machines to fetch information from text or speech and offer insights/intelligence to humans. In simple words, NLP is the ability of a computer program to interpret human language through text or speech — known as natural language. It is a subset of artificial intelligence (AI).
NLP has been around for at least 50 years and has firm roots in the linguistics sector. It has a lot of real-world applications in various fields, including business intelligence (BI), medical research, and search engines.
NLP can handle and analyze large volumes of text data without fatigue and bias. It can also structure highly unstructured data sources. NLP is important because it helps resolve ambiguity in language and adds useful information on top of it. Its contribution to text recognition and analytics is unprecedented. Some other applications of NLP include sentimental analysis, chatbot (virtual agent), speech recognition (e.g. Siri), and machine translation (Google translation).
Sentimental analysis is commonly used in social media platforms, the result can show people’s attitude toward a topic. A chatbot is commonly used in the service industry, saving both agents and customers time. Speech recognition and machine translation can be found in smart devices. These functions are designed to make people’s lives more convenient and efficient.
How Does Natural Language Processing Work? -
3 Real-World Applications of NLP -
NLP is one of the most opportunistic fields within AI, and it’s already present in a lot of applications we use on a regular basis, from chatbots to voice assistants.
Thanks to NLP, businesses are automating some of their day-to-day processes and making the best of their unorganized data, getting valuable insights that they use to improve customer satisfaction and deliver successful customer services.
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