Have you ever used a virtual assistant like Siri or Alexa? Or maybe a language translation app to communicate with someone who speaks a different language? If so, you've experienced the power of Natural Language Processing (NLP).
NLP is a field of artificial intelligence that enables computers to understand, interpret, and generate human language. It makes it easier for people to communicate with each other and with machines, and it has a wide range of everyday applications. Here are the most important ones:
You may wonder why NLP is important to us. Well, let's say you have a bunch of scanned documents and you want to extract insights from them. To do so first you need to extract the text. That's where OCR comes in - it's a tool that can do just that. But extracting the text is only the beginning. To analyze that text and gain insights from it NLP is needed. It's the next step in the process, and it's what allows us to really unlock the power of data. NLP is the key to understanding and making sense of all that extracted text, and it's what allows us to take data analysis to the next level.
NLP is a field of artificial intelligence that enables computers to understand, interpret, and generate human language. It makes it easier for people to communicate with each other and with machines, and it has a wide range of everyday applications. Here are the most important ones:
- Email filtering (ex. spam)
- Language translation
- Smart assistants
- Search engines
- Sentiment analysis (ex. customer satisfaction analysis)
- Chatbots (ex. ChatGPT)
You may wonder why NLP is important to us. Well, let's say you have a bunch of scanned documents and you want to extract insights from them. To do so first you need to extract the text. That's where OCR comes in - it's a tool that can do just that. But extracting the text is only the beginning. To analyze that text and gain insights from it NLP is needed. It's the next step in the process, and it's what allows us to really unlock the power of data. NLP is the key to understanding and making sense of all that extracted text, and it's what allows us to take data analysis to the next level.