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ISDS 2001 Final Exam questions with correct answers
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ISDS 2001 Final Exam questions with correct answers
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ISDS 2001 Final ExamWhat is the formula for Text Analytics? - correct answer ✔✔Information Retrieval + Text Mining
Is tapping into information sources an option? - correct answer ✔✔No, it is a need to stay competitive
What is text mining? - correct answer ✔✔A semi-automated process of extracting knowledge from
unstructured data sources
What is another name for text data mining or knowledge discovery in textual databases? - correct
answer ✔✔Text mining
What is the difference between data mining and text mining? - correct answer ✔✔The nature of the
data (text mining analyzes words and data mining analyzes numeric data)
Where is structured data found? - correct answer ✔✔Databases
Where is unstructured data found? - correct answer ✔✔Word documents, PDF files, text excerpts, and
XML files
How do you perform text mining? - correct answer ✔✔Impose structure to the data and then mine the
structured data
When is text mining most useful? - correct answer ✔✔When analyzing electronic communication
records
What are some examples of text mining in electronic records? - correct answer ✔✔Spam filtering, email
prioritization/categorization, and automatic response generation
, What are the four most popular analyses/applications of text mining? - correct answer
✔✔Summarization, text categorization, clustering, and association/concept linking
What is information extraction? - correct answer ✔✔Identification of key phrases and relationships
within text by looking for predefined objects and sequences in text by way of pattern matching
What is topic tracking? - correct answer ✔✔Based on a user profile and documents that a user views,
text mining can predict other documents of interest to the user
What is summarization? - correct answer ✔✔Summarizing a document to save time on the part of the
reader
What is another name for text categorization? - correct answer ✔✔Classification
What is text categorization? - correct answer ✔✔Identifying the main themes of a document and then
placing the document into a predefined set of categories based on those themes
What is clustering? - correct answer ✔✔Grouping similar documents without having a predefined set of
categories
What is the difference between categorization and clustering of documents? - correct answer
✔✔Preselection of categories
What is association/concept linking? - correct answer ✔✔Connects related documents by identifying
their shared concepts, and by doing so, helps users find information that they perhaps would not have
found using traditional search methods
What is question answering? - correct answer ✔✔Finding the best answer to a given question though
knowledge-driven pattern matching
What is a corpus? - correct answer ✔✔Body knowledge (the data)
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