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Big Data: New Development Opportunities in Islamic Studies /49

questionnaire forms, traditional references, etc) “Text
Mining brings together a broad range of contemporary
qualitative and quantitative methods to provide strategic
and practical guidance on analyzing large text
1
collections.”
Text Mining analysis allows the researcher to obtain
accurate study, by realizing huge data sets. But that
requires many additional technical skills, as well as
specialized collaboration.
Furthermore, using Text Mining prompts us to ask
new kind of examination, as how can we present Big
Data in meaningful way, amenable to understand its
indicators, and what it can afford to measure within any
determined issue.
Moreover, Natural language processing (NLP) is a
component of Text Mining that performs a special kind of
linguistics analysis, such as summarizing blocks of text,
generating keyword tags, reducing words to their root,
identifying the type of entity extracted (it being a person,
place, or organization, etc.), or Sentiment Analysis, and
many more.
NLP allows for researchers to study the context of texts
meaning, by using for example hashtags to extract related
results, and this also what Quranic researcher can work on.
Thus, there are a lot of analytics methods for different
2
uses considering researcher’s purpose and the algorithm
determined. For that, it’s significant that researcher should
has a clear vision toward his topic, in order to use these
methods perfectly.

1. Ignatow and Mihalcea, 2016.
2. Algorithm is a process or set of rules to be followed in calculations
or other problem-solving operations, especially by a computer.