ITEC 1010 Lecture 3: Text Mining and Web Mining

25 views2 pages

Document Summary

Business intelligence tools deal primarily with data that have been structured in databases and files. Unstructured data, mostly in the form of text file account for more than 80% of an organization"s useful information. Email, memos, call centre transcripts, survey responses, legal cases, patent descriptions, and service reports valuable for finding patterns and trends. Text mining: extract key elements from large unstructured data sets, discover patterns and relationships, and summarize information. Businesses might turn to this to analyze transcripts of calls to customer service centres to identify major service and repair issues. Relatively new technology especially the myriad ways unstructured data are being generated by consumers and the business uses for these data. Web mining: discovery and analysis of useful patterns and information form the. Business might turn to this to help them understand customer behaviour, evaluate the effectiveness of a particular web site, or quantify the success of a marketing campaign.

Get access

Grade+
$40 USD/m
Billed monthly
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
10 Verified Answers
Class+
$30 USD/m
Billed monthly
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
7 Verified Answers

Related Documents