Question

Once data have been captured and organized using the business intelligence technologies we have just described, they are available for further analysis using software for database querying and reporting, multidimensional data analysis (olap), and data mining. text mining tools:_____.

a. can be used to create insights into corporate data by finding hidden patterns and relationships in large databases and inferring rules from them to predict future behavior
b. support multidimensional data analysis, enabling users to view the same data in different ways using multiple dimensions
c. explore text comments in an email message, blog, social media conversation, or survey form to detect favorable or unfavorable opinions about specific subjects
d. help businesses analyze data by extracting key elements from unstructured big data sets, discover patterns and relationships, and summarize the information
e. i don't know yet

Answer 1

Text mining tools are used to explore and analyze unstructured data from various textual sources to detect opinions and patterns, helping in business intelligence and societal research. These tools require skills in computer science and domain-specific knowledge, making data interpretation a critical ability in today's data-driven world.

Step-by-step explanation:

Text mining tools explore text comments in email messages, blogs, social media conversations, or survey forms to detect favorable or unfavorable opinions about specific subjects. These tools have become essential in interpreting the vast amounts of unstructured data that we are accumulating in various databases. Text mining is employed to analyze data by extracting key elements and discovering patterns and relationships, which helps businesses gain insights into consumer behavior and preferences. The skill of analyzing and interpreting such data is increasingly important in a variety of fields, from business intelligence to societal research.

As the demand for these skills grows, specialties in both computer science and domain-specific areas such as biology are promising career paths. Analyzing and interpreting data involve statistical methods and the use of sophisticated software to support decision-making processes. Whatever the context, the ability to critically analyze and utilize data is crucial in the modern digital era.