Natural language understand ing · Machine translation F read F Speech recognition Text-to-speech Text proofi Optical character recognition Section 5.4 Review Questions List and briefly discuss some of the text mining applications in marketing Text mining can be used to increase cross-selling and up-selling by analyzing the unstructured data generated by call centers Text mining has become invaluable for customer relationship management Companies can use text mining to analyze rich sets of unstructured text data, combined with the relevant structured data extracted from organizational databases, to predict customer perceptions and subsequent purchasing behavior How can text mining be used in security and counterterrorism? Students may use the introductory case in this answer In 2007, EUROPOL developed an integrated system capable of accessing, storing, and analyzing vast amounts of structured and unstructured data sources in order to track transnational organized crime Another security-related application of text mining is in the area of deception detection 3. What are some promising text mining applications in biomedicine? As in any other experimental approach, it is necessary to analyze the vast amount of data in the context of previously known information about the biological entities under study. The literature is a particularly valuable source of information for experiment validation and interpretation. Therefore, the development of automated text tools to assist in such interpretation is one of the mai challenges in current bioinformatics research 6 Copyright C2018 Pearson Education, Inc.6 Copyright © 2018Pearson Education, Inc. • Natural language understanding • Machine translation • Foreign language reading • Foreign language writing • Speech recognition • Text-to-speech • Text proofing • Optical character recognition Section 5.4 Review Questions 1. List and briefly discuss some of the text mining applications in marketing. Text mining can be used to increase cross-selling and up-selling by analyzing the unstructured data generated by call centers. Text mining has become invaluable for customer relationship management. Companies can use text mining to analyze rich sets of unstructured text data, combined with the relevant structured data extracted from organizational databases, to predict customer perceptions and subsequent purchasing behavior. 2. How can text mining be used in security and counterterrorism? Students may use the introductory case in this answer. In 2007, EUROPOL developed an integrated system capable of accessing, storing, and analyzing vast amounts of structured and unstructured data sources in order to track transnational organized crime. Another security-related application of text mining is in the area of deception detection. 3. What are some promising text mining applications in biomedicine? As in any other experimental approach, it is necessary to analyze the vast amount of data in the context of previously known information about the biological entities under study. The literature is a particularly valuable source of information for experiment validation and interpretation. Therefore, the development of automated text mining tools to assist in such interpretation is one of the main challenges in current bioinformatics research