Page 46 - Pure Life 11

Big Data: New Development Opportunities in Islamic Studies /45

Therefore, we present in this paper the concept of Data
Science, because it is the one that reveals the significant
observations expressed by the data sets from different
sources. This will lead us to make appropriate decisions
and strategies in any subject given to be processed.
At the present time, social networks play a key role in
the enhancement of Big data sets.
Twitter, for example, is a very useful source of
generating data, and can be used in the Sentiment
Analysis, such as the feedback of any product or service,
elections, marketing etc.
Sentiment Analysis is one of the aspects addressed by
the Data Science that depends on Big Data. It is the
process of extracting and classifying data according to the
opinions, feelings and attitudes such as positive, negative
or neutral, in order to employ it in rehabilitating specific
issues, and maintaining decision-making processes on the
basis of scientific givens alternative to guesswork and
hypotheses.
Consequently, contemporary companies rely their
investments on Big Data. For example, Amazon uses Big
Data to deliver better service for its customers. If a
customer purchases an item, he will automatically receive
a suggestion items list that might concern him. This
technique is based on the behavior analysis of all
customers.
In this case, Data Science intersects with Machine
1
Learning , which is also a fertile research area for the
development of online religious learning, but what concerns
us here is one of the distinctive features of Big Data.

1. Machine learning is a method of data analysis that automates
analytical model building.