Title :
Text-Driven Multi-structured Data Analytics for Enterprise Intelligence
Author :
Dey, Lipika ; Verma, Ishan
Author_Institution :
TCS Innovation Labs., Tata Consultancy Services, New Delhi, India
Abstract :
Text data constitutes the bulk of all enterprise data. Text repositories are not only tacit store-houses of knowledge about its people, projects and processes but also contain invaluable information about its customers, competitors, suppliers, partners and all other stakeholders. Mining this data can provide interesting and valuable insights provided it is appropriately integrated with other enterprise data. In this paper we propose a framework for text-driven analysis of multi-structured data.
Keywords :
business data processing; competitive intelligence; data analysis; data mining; text analysis; data mining; enterprise data; enterprise intelligence; text data; text driven analysis; text driven multistructured data analytics; text repositories; Business; Context; Media; Natural language processing; Semantics; Text mining; Information Fusion; Text Analytics;
Conference_Titel :
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4799-2902-3
DOI :
10.1109/WI-IAT.2013.186
