Making sense of unstructured data – pattern matching for information extraction

Pattern matching in responses involves the process of taking unstructured text as input and producing a structured output by identifying and extracting relevant patterns or information.

Now, let’s look at an example to illustrate how pattern matching can be used in this context.

Let’s consider a scenario where the input is an unstructured text containing information about a person, including their name, age, and occupation. The goal is to extract and structure this information into a more organized format.

Here’s the unstructured text input:

John Smith is a 35-year-old software engineer.

In this case, pattern matching can be employed to identify specific patterns or keywords that correspond to the desired information. For instance, we can define patterns such as [name] is a [age]-year-old [occupation] to capture the relevant details.

By applying pattern matching...