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What is Inverse Document Frequency (IDF)

Handbook of Research on Democratic Strategies and Citizen-Centered E-Government Services
Measure used in text content clustering.
Published in Chapter:
E-Government Documents and Data Clustering
Goran Šimić (University of Defense, Serbia)
DOI: 10.4018/978-1-4666-7266-6.ch010
Abstract
This chapter is about documents and data clustering as a process of preparing the information resources stored in the e-government systems for advanced search. These resources are mainly represented as textual data stored as field values in the databases or located as documents in file repositories. Due to their growth in number, search for some specific information takes more time. Different techniques are used for this purpose. Most of them include information retrieval based on a variety of text similarity measures. The cost of such processing depends on preparation of resources for searching. Clustering represents the most commonly used technique for such a purpose, and this fact is the basic motive for this chapter.
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Technologies for Information Access and Knowledge Management
IDF is a traditional weighting scheme for terms. It can be calculated as the logarithm of the term frequency in the document divided by the frequency of the term in the whole collection.
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Information Retrieval
A traditional weighting scheme for terms. It can be calculated as the logarithm of the term frequency in the document divided by the frequency of the term in the whole collection.
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