Text analytics is the subset of text mining that handles information retrieval and extraction, plus data mining.-FALSE Categorization and clustering of documents during text mining differ only in the preselection of categories.-TRUE Articles and auxiliary verbs are assigned little value in text mining and are usually filtered out.- In the car insurance case study, text mining was used to identify auto features that caused injuries.-FALSE Regional accents present challenges for natural language processing. -TRUE In the Tito's Vodka case study, trends in cocktails were studied to create a quarterly recipe for customers. -TRUE In the Wimbledon case study, designers balanced the needs of mobile and desktop computer users. -TRUE In text mining, if an association between two concepts has 7% support, it means that 7% of the documents had both concepts represented in the same document. -TRUE In sentiment analysis, sentiment suggests a transient, temporary opinion reflective of one's feelings.-FALSE Current use of sentiment analysis in voice of the customer applications allows companies to change their products or services in real time in response to customer sentiment. -TRUE In sentiment analysis, it is hard to classify some subjects such as news as good or bad, but easier to classify others, e.g., movie reviews, in the same way. -TRUE Search engines are only used in the context of the World Wide Web (WWW).-FALSE Search engine optimization (SEO) techniques play a minor role in a Web site's search ranking because only well-written content matters.-FALSE Clickstream analysis does not need users to enter their perceptions of the Web site or other feedback directly to be useful in determining their preferences. -TRUE Since little can be done about visitor Web site abandonment rates, organizations have to focus their efforts on increasing the number of new visitors.-FALSE
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