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50 PURE LIFE, Vol.11.No.4, December. 2017 (Rabīʿ Al-Thānī 1439. Azar 1396)
Practical Applications
We mentioned briefly in the previous section the most
important concepts related to Data Science and Big Data,
before presenting forthwith some applications samples
that are helpful for Quranic researcher, by highlighting
two open data sources: Digital newspapers and social data.
Because, both contribute in manipulating the public
trends, and engineering our realistic thoughts.
Regarding the sentiment analysis methods, some
researchers apply it on New York Times’ news headlines
between the years 1990-2014 within their paper entitled
1
“Are Muslims Collectively Responsible?”, to determine
the rate of bias toward Islam and Muslims. They realized
that 57 % of news headlines, which include
Islam/Muslims keywords, are classified as negative, while
8% of them as positive.
Furthermore, their results indicate the lack of positive
words through analyzing the popular context related,
whilst conceptions as: “Rebels” and “Militant” are the top
words that followed by Islam/Muslims keywords.
This study is an analytical sample in facing the media reality
around the world. However, it’s huge source to analyze the
trends and their temporal related, as well their correlations in
specific context, and predict also the future of streaming.
Further, the combination between multi sources of data
is richness for research, because each time that news
publishes, they will be expanded with tremendous speed
in the social network in the form of feedback loop.
Another article entitled “Muslims in social media
discourse: Combining topic modeling and critical
discourse analysis” which relies on Social Data analysis,

1. Arshad, Setlur and Siddiqui, 2015.