Tapping the power of text mining

By Weiguo Fan, Linda G. Wallace, Stephanie Rich, Zhongju Zhang. CACM, 2006

477 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/4b0d321b796d2ed4705617be64d8c70a4653704f

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

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Citations in the corpus

Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2015, background): “Text mining (TM) is a particular type of DM that is focused on handling unstructured or semi structured data sets, such as text documents (Fan et al., 2006).”
Data mining techniques and applications — A decade review (2017, background): “Organizations have a big collection of documents and use text mining and obtain information needed [19].”
Advanced analytics: opportunities and challenges (2009, background): “Recent advances have led to the newest and hottest trends in data mining – text mining and web mining (Hearst, 2003; Fan et al., 2006).”
Competitive intelligence process and tools for intelligence analysis (2008, background): “However, it is becoming increasingly popular to combine data mining with text mining to analyze structured, semi-structured, and unstructured data (Fan et al., 2006b).”
Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework (2008, methodology): “To extract information from such repositories, elaborate text-mining tools have been proposed that help identifying, summarizing, linking, and grouping content items (Fan, Wallace, Rich, & Zhang, 2006).”
Intelligent heart disease prediction system using data mining techniques (2008, background): “Another challenge would be to integrate data mining and text mining [16].”
Exploring online customer engagement with hospitality products and its relationship with involvement, emotional states, experience and brand advocacy (2019, methodology): “translated into actionable knowledge (Fan et al., 2006; Mostafa, 2013).”