Difference between revisions of "Concept-Based Document Classification Using Wikipedia and Value Function"

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== Overview ==
 
== Overview ==
 
In this article, authors propose a new concept-based method for document classification. The conceptual knowledge associated with the words is drawn from [[Wikipedia]]. The purpose is to utilize the abundant semantic [[relatedness]] information available in Wikipedia in an efficient value function-based query learning algorithm. The procedure learns the value function by solving a simple linear programming problem formulated using the training documents. The learning involves a step-wise iterative process that helps in generating a value function with an appropriate set of concepts (dimensions) chosen from a collection of concepts. Once the value function is formulated, it is utilized to make a decision between relevance and irrelevance. The value assigned to a particular document from the value function can be further used to rank the documents according to their relevance. Reuters newswire documents have been used to evaluate the efficacy of the procedure. An extensive comparison with other frameworks has been performed. The results are promising. © 2011 Wiley Periodicals, Inc.
 
In this article, authors propose a new concept-based method for document classification. The conceptual knowledge associated with the words is drawn from [[Wikipedia]]. The purpose is to utilize the abundant semantic [[relatedness]] information available in Wikipedia in an efficient value function-based query learning algorithm. The procedure learns the value function by solving a simple linear programming problem formulated using the training documents. The learning involves a step-wise iterative process that helps in generating a value function with an appropriate set of concepts (dimensions) chosen from a collection of concepts. Once the value function is formulated, it is utilized to make a decision between relevance and irrelevance. The value assigned to a particular document from the value function can be further used to rank the documents according to their relevance. Reuters newswire documents have been used to evaluate the efficacy of the procedure. An extensive comparison with other frameworks has been performed. The results are promising. © 2011 Wiley Periodicals, Inc.
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== Embed ==
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=== Wikipedia Quality ===
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Malo, Pekka; Sinha, Ankur; Wallenius, Jyrki; Korhonen, Pekka. (2011). "[[Concept-Based Document Classification Using Wikipedia and Value Function]]". Association for Information Science & Technology. DOI: 10.1002/asi.21596.
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=== English Wikipedia ===
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{{cite journal |last1=Malo |first1=Pekka |last2=Sinha |first2=Ankur |last3=Wallenius |first3=Jyrki |last4=Korhonen |first4=Pekka |title=Concept-Based Document Classification Using Wikipedia and Value Function |date=2011 |doi=10.1002/asi.21596 |url=https://wikipediaquality.com/wiki/Concept-Based_Document_Classification_Using_Wikipedia_and_Value_Function |journal=Association for Information Science & Technology}}
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=== HTML ===
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Malo, Pekka; Sinha, Ankur; Wallenius, Jyrki; Korhonen, Pekka. (2011). &amp;quot;<a href="https://wikipediaquality.com/wiki/Concept-Based_Document_Classification_Using_Wikipedia_and_Value_Function">Concept-Based Document Classification Using Wikipedia and Value Function</a>&amp;quot;. Association for Information Science & Technology. DOI: 10.1002/asi.21596.
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Revision as of 07:42, 26 June 2020


Concept-Based Document Classification Using Wikipedia and Value Function
Authors
Pekka Malo
Ankur Sinha
Jyrki Wallenius
Pekka Korhonen
Publication date
2011
DOI
10.1002/asi.21596
Links
Original

Concept-Based Document Classification Using Wikipedia and Value Function - scientific work related to Wikipedia quality published in 2011, written by Pekka Malo, Ankur Sinha, Jyrki Wallenius and Pekka Korhonen.

Overview

In this article, authors propose a new concept-based method for document classification. The conceptual knowledge associated with the words is drawn from Wikipedia. The purpose is to utilize the abundant semantic relatedness information available in Wikipedia in an efficient value function-based query learning algorithm. The procedure learns the value function by solving a simple linear programming problem formulated using the training documents. The learning involves a step-wise iterative process that helps in generating a value function with an appropriate set of concepts (dimensions) chosen from a collection of concepts. Once the value function is formulated, it is utilized to make a decision between relevance and irrelevance. The value assigned to a particular document from the value function can be further used to rank the documents according to their relevance. Reuters newswire documents have been used to evaluate the efficacy of the procedure. An extensive comparison with other frameworks has been performed. The results are promising. © 2011 Wiley Periodicals, Inc.

Embed

Wikipedia Quality

Malo, Pekka; Sinha, Ankur; Wallenius, Jyrki; Korhonen, Pekka. (2011). "[[Concept-Based Document Classification Using Wikipedia and Value Function]]". Association for Information Science & Technology. DOI: 10.1002/asi.21596.

English Wikipedia

{{cite journal |last1=Malo |first1=Pekka |last2=Sinha |first2=Ankur |last3=Wallenius |first3=Jyrki |last4=Korhonen |first4=Pekka |title=Concept-Based Document Classification Using Wikipedia and Value Function |date=2011 |doi=10.1002/asi.21596 |url=https://wikipediaquality.com/wiki/Concept-Based_Document_Classification_Using_Wikipedia_and_Value_Function |journal=Association for Information Science & Technology}}

HTML

Malo, Pekka; Sinha, Ankur; Wallenius, Jyrki; Korhonen, Pekka. (2011). &quot;<a href="https://wikipediaquality.com/wiki/Concept-Based_Document_Classification_Using_Wikipedia_and_Value_Function">Concept-Based Document Classification Using Wikipedia and Value Function</a>&quot;. Association for Information Science & Technology. DOI: 10.1002/asi.21596.