Question 1

Two advantages associated with the implementation of NLP are word sense disambiguation and syntactic ambiguity.

Accepted Answer

False

Question 2

A vast majority of business data is captured and stored in text documents that are structured.

Accepted Answer

Most business data is captured and stored in structured formats like databases and spreadsheets, while text documents are typically unstructured.

Question 3

The main purpose of establishing the corpus is to collect all of the documents related to the context being studied.

Accepted Answer

The establishment of a corpus involves gathering all relevant texts and documents related to a particular topic or field. This collection serves as a basis for linguistic analysis and research.

Question 4

Stemming is the process of reducing inflected words to their base or root form.

Accepted Answer

This statement correctly defines what stemming is.

Question 5

By applying a learning algorithm to parsed text, researchers from Stanford University's NLP lab have
developed methods that can automatically identify the concepts and relationships between those concepts in the text.

Accepted Answer

This statement accurately describes the findings of the researchers from Stanford University's NLP lab.

Question 6

DARPA and MITRE teamed up to develop capabilities to automatically filter text-based information sources to generate actionable information in a timely manner.

Accepted Answer

DARPA and MITRE did indeed collaborate to develop an automated system for filtering text-based information to quickly generate actionable intelligence.

Question 7

Amazon.com leverages Web usage history dynamically and recognizes the user by reading a cookie written by a Web site on the visitor's computer.

Accepted Answer

This statement is true. Amazon.com uses the visitor's Web usage history and recognizes the user by reading a cookie that is written by a website on their computer. This helps Amazon personalize the user's experience and suggest products based on their previous searches and purchases.

Question 8

Customer experience management applications gather and report direct feedback from site visitors by benchmarking against other sites and offline channels, and by supporting predictive modeling of future visitor behavior.

Accepted Answer

The answer of Customer experience management applications gather and report...

Question 9

Text mining is important to competitive advantage because knowledge is power, and knowledge is derived from text data sources.

Accepted Answer

Text mining involves extracting valuable insights and knowledge from unstructured text data, such as customer feedback, social media comments, and industry reports. This knowledge can provide businesses with a competitive advantage by helping them make more informed decisions, identify market trends, and understand customer preferences. Therefore, the statement that knowledge is power and knowledge is derived from text data sources is true, making option A the correct answer.

Question 10

Web crawlers are Web content mining tools that are used to read through the content of a Web site automatically.

Accepted Answer

The answer of Web crawlers are Web content mining tools...

Question 11

The purpose and processes of text mining are different from those of data mining because with text mining the input to the process are data files such as Word documents, PDF files, text excerpts, and XML files.

Accepted Answer

Text mining and data mining both aim to discover patterns and extract useful information from data; the main difference lies in the type of data they process, not in the fundamental purpose or processes. Text mining specifically deals with unstructured textual data, while data mining can handle various data types, including structured and unstructured data.

Question 12

The main categories of knowledge extraction methods are recall, search, and signaling.

Accepted Answer

The main categories of knowledge extraction methods are information extraction, text mining, and natural language processing. Recall, search, and signaling are not categories of knowledge extraction methods.

Question 13

The goal of natural language processing (NLP) is syntax-driven text manipulation.

Accepted Answer

The goal of natural language processing (NLP) is to enable computers to understand, interpret, and manipulate human language, which involves more than just sentence structure and syntax. NLP also needs to consider semantics, pragmatics, and context in order to accurately process and generate text.

Question 14

The quality of search results is impossible to measure accurately using strictly quantitative measures such as click-through rate, abandonment, and search frequency. Additional quantitative and qualitative measures are required.

Accepted Answer

While quantitative measures can give some insight into the quality of search results, they do not provide a complete picture. Factors such as relevancy, user intent, and user satisfaction require additional qualitative measures such as surveys or user interviews to accurately assess the quality of search results.

Question 15

The benefits of text mining are greatest in areas where very large amounts of textual data are being generated, such as law, academic research, finance, and medicine.

Accepted Answer

Text mining is most beneficial in areas where there is a lot of textual data, such as legal documents, academic journals, financial reports, and medical records. By using text mining techniques, patterns and insights can be discovered from this large amount of data that would be difficult for humans to identify on their own.

Question 16

Unstructured data has a predetermined format. It is usually organized into records as categorical, ordinal, and continuous variables and stored in databases.

Accepted Answer

This statement is false. Unstructured data does not have a predetermined format and is not organized into records as categorical, ordinal, and continuous variables. It is usually not stored in databases and requires specialized tools to extract insights from it.

Question 17

Web pages consisting of unstructured textual data coded in HTML and logs of visitors' interactions provide rich data that can easily provide effective and efficient knowledge discovery.

Accepted Answer

The answer of Web pages consisting of unstructured textual data...

Question 18

Text mining can be used to increase cross-selling and up-selling by analyzing the unstructured data generated by call centers.

Accepted Answer

Text mining can help identify patterns and insights from call center data that can be used to recommend additional products or services to customers, increasing cross-selling and up-selling opportunities.

Question 19

Stop words, such as a, am, the, and was, are words that are filtered out prior to or after processing of natural language data.

Accepted Answer

Stop words are commonly filtered out during natural language processing to improve efficiency and prevent them from affecting the accuracy of analysis.

Question 20

Compared to polygraphs for deception-detection, text-based deception detection has the advantages of being nonintrusive and widely applicable to textual data and transcriptions of voice recordings.

Accepted Answer

Text-based deception detection does not require physical sensors or bodily responses like a polygraph, making it nonintrusive. It can also be applied to various forms of textual data, such as emails, social media posts, and transcripts of voice recordings, making it widely applicable.

Quiz 5: Text and Web Mining