Entities can be extracted using regular expressions. In this recipe, we will illustrate this process for email addresses. The code can be easily modified to address other entity types.
Regular expressions are sequences of special characters that describe a particular type of text. There will often be specialized units of text, such as email addresses or phone numbers, that possess a unique pattern. Regular expressions are used to describe these patterns and are used to find the elements in text.
Regular expressions can be difficult to read and understand. This can make the code more difficult to maintain. However, they are not as computationally intensive as neural networks can be. In addition, for many entities there are multiple, readily available regular expression variations easily found on the internet (https://www.vogella.com/tutorials...
