Text Mining

Predictive Methods for Analyzing Unstructured Information

Sholom M. Weiss, Nitin Indurkhya, Tong Zhang, Fred Damerau (Autoren)

Buch | Softcover

237 Seiten

2010 | Softcover reprint of hardcover 1st ed. 2005
Springer-Verlag New York Inc.
978-1-4419-2996-9 (ISBN)

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Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they? In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi?ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.

Overview of Text Mining.- From Textual Information to Numerical Vectors.- Using Text for Prediction.- Information Retrieval and Text Mining.- Finding Structure in a Document Collection.- Looking for Information in Documents.- Case Studies.- Emerging Directions.

Erscheint lt. Verlag	19.11.2010
Zusatzinfo	XII, 237 p.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Informatik ► Grafik / Design ► Desktop Publishing / Typographie
	Mathematik / Informatik ► Informatik ► Netzwerke
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Sozialwissenschaften ► Politik / Verwaltung ► Staat / Verwaltung
ISBN-10	1-4419-2996-7 / 1441929967
ISBN-13	978-1-4419-2996-9 / 9781441929969
Zustand	Neuware