Predicting the Popularity of Trending Arabic Wikipedia Articles based on External Stimulants Using Data/Text Mining Techniques

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Predicting the Popularity of Trending Arabic Wikipedia Articles based on External Stimulants Using Data/Text Mining Techniques
Authors
Hanadi Muqbil Al-Mutairi
Mohammad Badruddin Khan
Publication date
2015
DOI
10.1109/CLOUDCOMP.2015.7149651
Links
Original

Predicting the Popularity of Trending Arabic Wikipedia Articles based on External Stimulants Using Data/Text Mining Techniques - scientific work related to Wikipedia quality published in 2015, written by Hanadi Muqbil Al-Mutairi and Mohammad Badruddin Khan.

Overview

Wikipedia is considered to be one of the most famous online encyclopedias. Authors study the issues related to trending articles on Arabic Wikipedia and how it is influenced by certain external stimulants: for example, breaking news, celebrities' tweets, special events from the past, instant messages on any social media application or any other reasons that could affect the Arabic Wikipedia articles in terms of the number of visitors, which authors named the popularity level. By using a data- and text- mining techniques, and the software platform Rapidminer, authors developed two models that enabled us to predict the popularity level of Arabic articles on Wikipedia, depending on the features of their stimulants.

Embed

Wikipedia Quality

Al-Mutairi, Hanadi Muqbil; Khan, Mohammad Badruddin. (2015). "[[Predicting the Popularity of Trending Arabic Wikipedia Articles based on External Stimulants Using Data/Text Mining Techniques]]".DOI: 10.1109/CLOUDCOMP.2015.7149651.

English Wikipedia

{{cite journal |last1=Al-Mutairi |first1=Hanadi Muqbil |last2=Khan |first2=Mohammad Badruddin |title=Predicting the Popularity of Trending Arabic Wikipedia Articles based on External Stimulants Using Data/Text Mining Techniques |date=2015 |doi=10.1109/CLOUDCOMP.2015.7149651 |url=https://wikipediaquality.com/wiki/Predicting_the_Popularity_of_Trending_Arabic_Wikipedia_Articles_based_on_External_Stimulants_Using_Data/Text_Mining_Techniques}}

HTML

Al-Mutairi, Hanadi Muqbil; Khan, Mohammad Badruddin. (2015). &quot;<a href="https://wikipediaquality.com/wiki/Predicting_the_Popularity_of_Trending_Arabic_Wikipedia_Articles_based_on_External_Stimulants_Using_Data/Text_Mining_Techniques">Predicting the Popularity of Trending Arabic Wikipedia Articles based on External Stimulants Using Data/Text Mining Techniques</a>&quot;.DOI: 10.1109/CLOUDCOMP.2015.7149651.