Chapter 7

Question 1

authoritative pages

Answer 1

Web pages that are identified as particularly popular based on links by other Web pages and directories.

Question 2

clickstream analysis

Answer 2

The analysis of data that occur in the Web environment.

Question 3

clustering

Answer 3

Partitioning a database into segments in which the members of a segment share similar qualities.

Question 4

corpus

Answer 4

In linguistics, a large and structured set of texts (now usually stored and processed electronically) prepared for the purpose of conducting knowledge discovery.

Question 5

deception detection

Answer 5

A way of identifying deception (intentionally propagating beliefs that are not true) in voice, text, and/or body language of humans.

Question 6

hubs

Answer 6

One or more Web pages that provide a collection of links to authoritative pages.

Question 7

hyperlink-induced topic search

Answer 7

(HTS) The most popular publicly known and referenced algorithm in Web mining used to discover hubs and authorities.

Question 8

polarity identification

Answer 8

Given an opinionated piece of text, the goal is to classify the opinion as falling under one of two opposing sentiment polarities or to locate its position on the continuum between these two polarities.

Word / Term level.
1) use a lexicon as a reference library.
2) use a collection of training documents.

Question 9

polyseme

Answer 9

Words also called homonyms, they are syntactically identical words (i.e., spelled exactly the same) with different meanings (e.g., bow can mean “to bend forward,”
“the front of the ship,” “the weapon that shoots arrows,” or “a
kind of tied ribbon”).

Question 10

search engine

Answer 10

A program that finds and lists Web sites or pages (designated by URLs) that match some user-selected criteria.

Question 11

sentiment analysis

Answer 11

The technique used to detect favorable and unfavorable opinions toward specific products and services using a large number of textual data sources (customer feedback in the form of Web postings).

Question 12

SentiWordNet

Answer 12

An extension of WordNet used for sentiment identification.

Question 13

singular value decomposition

Answer 13

Closely related to principal components analysis, reduces the overall dimensionality of the input matrix (number of input documents by number of extracted terms) to a lower dimensional space, where each consecutive dimension represents the largest degree of variability (between words and documents).

Question 14

social media analytics

Answer 14

The systematic and scientific way to consume the vast amount of content created by Web-based social media outlets, tools, and techniques for the betterment of an organization’s competitiveness.

Question 15

social network analysis

Answer 15

(SNA) The mapping and measuring of relationships and information flows among people, groups, organizations, computers, and other information - or knowledge-processing entities. The nodes in the network are the people and groups, whereas the links show relationships or flows between the nodes.

Question 16

spider

Answer 16

An application used to read through the content of a Web site automatically (Web Crawler).

Question 17

stemming

Answer 17

A process of reducing words to their respective root forms in order to better represent them in a text mining project.

Question 18

stop words

Answer 18

Words that are filtered out prior to or after processing of natural language data (i.e., text).

Question 19

term-document matrix

Answer 19

A frequency matrix created from digitized and organized documents (the corpus) where the columns represent the terms while rows represent the individual documents.

Question 20

text mining

Answer 20

The application of data mining to nonstructured or less structured text files. It entails the generation of meaningful numeric indices from the unstructured text and then processing those indices using various data mining algorithms.

Question 21

tokenizing

Answer 21

Categorizing a block of text (token) according to the function it performs

Question 22

trend anaylsis

Answer 22

The collecting of information and attempting to spot a pattern, or trend, in the information.

Question 23

voice of the customer (VOC)

Answer 23

Applications that focus on “who and how” questions by gathering and reporting direct feedback from site visitors, by benchmarking against other sites and offline channels, and by supporting predictive modeling of future visitor behavior.

Question 24

Web analytics

Answer 24

The application of business analytics activities to Web-based processes, including e-commerce.

Question 25

Web content mining

Answer 25

The extraction of useful information from Web pages

Question 26

Web crawler

Answer 26

An application used to read through the content of a Web site automatically (Spider).

Question 27

Web mining

Answer 27

The discovery and analysis of interesting and useful information from the Web, about the Web, and usually through Web-based tools.

Question 28

Web structure mining

Answer 28

The development of useful information from the links included in Web documents.

Question 29

Web usage mining

Answer 29

The extraction of useful information from the data being generated through Web page visits, transactions, and so on

Question 30

WordNet

Answer 30

A popular general-purpose lexicon created at Princeton University.