Book Reviews: The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data by Ronen Feldman and James Sanger

By Rada Mihalcea. International Conference on Computational Logic, 2008

1,126 citations recorded by the source corpus.

How researchers see this paper

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

Detecting large-scale system problems by mining console logs (2009, methodology): “In the third step, we use the bag of words model [6] to represent the message group because: 1) it does not require ordering among terms (message types), and 2) documents with unusual terms are given more weight in document ranking.”
From Throw-Away Traffic to Bots: Detecting the Rise of DGA-Based Malware (2012, methodology): “This is in a way analogous to the inverse document frequency used in the text mining domain [1, 7].”
Dynamic Patterns of Industry Convergence: Evidence from a Large Amount of Unstructured Data (2015, methodology): “Here, the text-mining method refers to the process of extracting rich, useful, and meaningful information from unstructured text (Dörre et al., 1999; Feldman and Sanger, 2007), such as online consumer reviews and newspaper articles.”