University of the Cumberland Week 4 Business Intelligence Book Ch 7 Questions

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Computer Science

University of the Cumberlands

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Complete the following assignment in one MS word document:

Chapter 7 –discussion question #1-4 & exercise 3 & Internet exercise # 7

When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week.

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Running head: BUSINESS INTELLIGENCE (WEEK 4 ASSIGNMENT)

Business Intelligence (Week 4 Assignment)

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BUSINESS INTELLIGENCE (WEEK 4 ASSIGNMENT)

2

Chapter 7

Question 1

Data mining and text mining are comparative in their function of data analysis. Data
mining analyses structured data, which is numeric, formatted, and arises from large data sets
such as spreadsheets and databases. On the other hand, text mining analyses unstructured data
in the form of words such as emails and social media feeds to give meaningful insights, hence
a specific type of data mining. Both, however, approach analytics using different functions;
therefore, they cannot be used alone. Text mining must utilize more techniques to convert
unstructured data into a structured one that can be analyzed (Sharda, Delen & Turban, 2020).
Sentiment analysis refers to opinion mining and deals with detecting polarity in texts and
categorizing words, whether positive or negative. It relates to text mining in that they utilize
the same techniques in analysis, such as language linguistics.

Question 2
Text mining involves the analysis of unstructured data, which is information in word
form and not organized or formatted to gain meaningful insists. A lot of information collected
from data sources such as emails, internet, social media in entities is usually in text form. It is
essential to understand information, which is in the way of texts; hence, it helps in
summarizing documents, catego...


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