Is boilerplate text included in analytics?

When considering the function of boilerplate text in analytics, it's important to understand how such text is treated within various analytics systems. Boilerplate text typically refers to standardized language or text that is commonly used across various documents, often duplicating the same information without adding unique content.

In the context of analytics, this type of text is generally excluded from analytical results rather than being captured for substantive analysis. However, it often remains searchable. Searchability means that while it may not contribute to the insights generated from the data, users can still locate and reference it within the context of their documents if they perform a search query. Hence, even though boilerplate text does not contribute meaningfully to the analysis, it is still present in the system as an element that can be searched, allowing users to identify its existence and location in documents.

The idea behind this is to enhance user experience, enabling users to wade through documents quickly, identify relevant sections, and understand the overall content without having the boilerplate content obstruct their analysis and findings.