Text Mining

By Yanli Cai, Jian-Tao Sun. Encyclopedia of Database Systems, 2017

694 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d26439e3c2f1d0c1e46f15e8ccb1f5f3cdd0cd3c

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In Artificial Intelligence

Citations in the corpus

Digital twin paradigm: A systematic literature review (2021, background): “Text mining is the process of analysing text to extract information that can be useful for different purposes (Hearst, 2003).”
PubMed and beyond: a survey of web tools for searching biomedical literature (2011, background): “Unlike many other review articles on text-mining systems (5–11), we limited our focus exclusively to systems that are: (i) for biomedical literature search and (ii) comparable to the PubMed system.”
A Typology of Mixed Methods Sampling Designs in Social Science Research (2007, neutral): “…to ignore the growing body of literature in the area of text mining, the process of analyzing naturally occurring text in order to discover and capture semantic information (see, for example, Del Rio, Kostoff, Garcia, Ramirez, & Humenik, 2002; Liddy, 2000; Powis & Cairns, 2003; Srinivasan, 2004).”
Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations (2020, methodology): “Therefore, this technique is commonly conducted to focus on the words and phrases in text, with some researchers suggesting to always remove punctuation (Banks et al., 2018) and others suggesting not to remove nonalphabetic characters when in doubt (Kobayashi et al., 2018b).”
Competitive intelligence process and tools for intelligence analysis (2008, background): “Text and web mining tools track information sources and allow sifting through vast collections of unstructured or semi structured data, which are beyond the reach of data mining tools (Hearst, 2003).”