Exam 5: Text and Web Mining

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

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.

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.

Fundamental to the optimization process is ________, gathering data and information that can then be transformed into tangible analysis and recommendations for improvement using Web mining tools and techniques.

The ________ model, which is one where multiple sources of data describing the same population are integrated to increase the depth and richness of the resulting analysis, forms the framework of the Web site optimization ecosystem.

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

________ mining is the extraction of useful information from data generated through Web page visits and transactions.

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

What are three of the challenges for effective and efficient knowledge discovery posed by the Web?

________ words or noise words are words that are filtered out prior to or after processing of natural language data.

________ is an important component of text mining and is a subfield of artificial intelligence and computational linguistics. It studies the problem of understanding the natural human language.

All of the following are types of data generated through Web page visits except:

Commercial software tools include all of the following except:

All of the following are popular application areas of text mining except:

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

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.

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.

Why does the Web pose great challenges for effective and efficient knowledge discovery?

List three business applications of Web mining.

In linguistics, a(n) ________ is a large and structured set of texts prepared for the purpose of conducting knowledge discovery.