Counting word frequency will provide initial metadata about the unstructured source text. Exposing the count of the occurrence of a word or when specific words are missing within a body of text is known as text mining. Text mining will provide analytics about the data, so a data analyst can determine the value of a data asset along with how it can be used to answer business questions. Likewise, you can identify keyword patterns that occur during unexpected outages that impact users by looking at application system logs. Once those words or phrases are identified, you can work with the developers to identify the root cause and reduce the impact on your application users.
A popular option available for text analysis is the use of regular expressions or regex for short. The regex concept is when you use a combination of rules and search patterns to extract features from very large, unstructured text. Regex becomes useful when reading the...