Final answer:
Businesses use Text Analytics tools to analyze unstructured data such as emails and memos, involving the use of analytical intelligence to uncover patterns from qualitative data. Tools like data mining, data warehousing, and relational databases, in contrast, are more suited for structured quantitative data.
Step-by-step explanation:
Businesses utilize Text Analytics tools to search and analyze unstructured data sets, such as emails and memos. These tools are designed to process and interpret vast amounts of textual information, extracting insights and identifying patterns that can inform decision-making processes. This is in contrast to methods like data mining, which focus on quantitative data and often involve structured datasets, or data warehousing and relational databases that are more about storing and retrieving structured data.
In the context of examining data for trends, when using text analytics, a person is employing analytical intelligence to discern patterns and gain insights. This analytical approach is essential for interpreting the qualitative data that could be gathered from sources like in-depth interviews, focus groups, and content analysis.
Regarding historical research methods, it should be noted that John S. Lynd and Helen Merrell Lynd primarily used a survey approach in their Middletown study, which differs from text analytics as it usually involves structured quantitative data and can be complemented by secondary data sources.