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Using Intuitionistic Fuzzy Sets in Text Categorization

2008
We address some crucial problem associated with text categorization, a local feature selection. It seems that intuitionistic fuzzy sets can be an effective and efficient tool making it possible to assess each term (from a feature set for each category) from a point of view of both its indicative and non-indicative ability.
Eulalia Szmidt, Janusz Kacprzyk
openaire   +1 more source

A Rough Set-Based Approach to Text Classification

1999
A non-trivial obstacle in good text classification for information filtering and retrieval (IF/IR) is the dimensionality of the data. This paper proposes a technique using Rough Set Theory to alleviate this situation. Given corpora of documents and a training set of examples of classified documents, the technique locates a minimal set of co-ordinate ...
Alexios Chouchoulas, Qiang Shen 0001
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Setting the Agenda with an Infinite Text

This contribution examines the significant role of Jochen Oltmer as an agenda-setter in migration studies. It argues that Oltmer’s academic work over the last 30 years has shaped scholarly and public discourse in Germany and beyond. The analysis focuses on three key conceptual frameworks that can be traced in Oltmer’s distinctive writing mode of an ...
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How pre-service teachers construct Quad Text Sets for use in secondary classrooms

Teaching and Teacher Education, 2020
April S Salerno, Alexis Rutt
exaly  

Text-setting

2001
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A Semantic Text Retrieval for Indonesian Using Tolerance Rough Sets Models

Lecture Notes in Computer Science, 2015
Gloria Virginia, Hung Son Nguyen
exaly  

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