Text Extraction There are a number of natural language processing techniques that can be used to extract information from text or unstructured data. These techniques can be used to extract information such as entity names, locations, quantities, and more. With the help of natural language processing, computers can make sense of the vast amount of unstructured text data that is generated every day, and humans can reap the benefits of having this information readily available. Industries such as healthcare, finance, and e-commerce are already using natural language processing techniques to extract information and improve business processes.
As the machine learning technology continues to develop, we will only see more and more information extraction use cases covered.