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What the Masses Want: A Case Study in Knowledge Discovery from Politically Oriented Data

by Samhaa R. El-beltagy, Moustafa Ghanem, Heba Ezzat, Sourya Ezzat, Mohmmed Aboelhouda, Ahmed Gamal, Mohamed Elkalioby, Shady Alaa Issa
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 6
Year of Publication: 2013
Authors: Samhaa R. El-beltagy, Moustafa Ghanem, Heba Ezzat, Sourya Ezzat, Mohmmed Aboelhouda, Ahmed Gamal, Mohamed Elkalioby, Shady Alaa Issa
10.5120/11399-6712

Samhaa R. El-beltagy, Moustafa Ghanem, Heba Ezzat, Sourya Ezzat, Mohmmed Aboelhouda, Ahmed Gamal, Mohamed Elkalioby, Shady Alaa Issa . What the Masses Want: A Case Study in Knowledge Discovery from Politically Oriented Data. International Journal of Computer Applications. 67, 6 ( April 2013), 21-28. DOI=10.5120/11399-6712

@article{ 10.5120/11399-6712,
author = { Samhaa R. El-beltagy, Moustafa Ghanem, Heba Ezzat, Sourya Ezzat, Mohmmed Aboelhouda, Ahmed Gamal, Mohamed Elkalioby, Shady Alaa Issa },
title = { What the Masses Want: A Case Study in Knowledge Discovery from Politically Oriented Data },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 6 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 21-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number6/11399-6712/ },
doi = { 10.5120/11399-6712 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:23:58.055957+05:30
%A Samhaa R. El-beltagy
%A Moustafa Ghanem
%A Heba Ezzat
%A Sourya Ezzat
%A Mohmmed Aboelhouda
%A Ahmed Gamal
%A Mohamed Elkalioby
%A Shady Alaa Issa
%T What the Masses Want: A Case Study in Knowledge Discovery from Politically Oriented Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 6
%P 21-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes an approach taken to analyze and categorize a sizable dataset of politically oriented posts that were submitted to a popular idea bank, Egypt 2. 0, created following the Egyptian revolution. The aim of the analysis was to organize and present the data in a simple way that allows the voice of the people to be heard by decision makers and activists in a critical 6 week period in February and March 2011. The constraints faced when developing the approach included the absence of a classification scheme, the unavailability of training data, the need to assign more than one category, or label, to individual posts and the need to complete the task in a short period of time. The goal of this paper is twofold. Firstly, to present and evaluate the rapid development framework and algorithms used to organize the data. Secondly, to document the challenges encountered when both developing the system itself and analyzing the data, and to present our experience to the research community with the aim of identifying potentially new interesting research topics.

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Index Terms

Computer Science
Information Sciences

Keywords

Text Mining Text Analysis Topic Categorization Multi-Labeling

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