Social media analytics helps us get simplified insights on data generated on various social media platforms by millions of people through variety of activities. The core of analytics is identifying the patterns and activities on these platforms so that social
media professionals can make better social media strategies. This paper introduces the general approach to social media analytics, and
then elaborates on the various phases of analytics. Essentially, identifying credible sources of mineable social media content is very
important. The applications for collecting data are authenticated using OAuth and proceed for collecting the required contents suitable
for the purpose of analytics using APIs and built-in language libraries. Data is pre-processed and data modeling techniques are applied
to gain valuable insights. Presenting the results in simple understandable form using appropriate visualization techniques is again
important to interpret the results.
Published In:IJCSN Journal Volume 6, Issue 6
Date of Publication : December 2017
Pages : 753-759
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Anita Kumari Singh : Research Scholar,
Department of Computer Science & Systems Engineering,
Andhra University, Visakhapatnam, India.
Mogalla Shashi : Professor,
Department of Computer Science & Systems Engineering,
Andhra University, Visakhapatnam, India.
Social Media Analytics, open source tools
Social media data has a lot of knowledge hidden in its
huge volumes of noisy, unstructured and dynamic
collection of data. Thus social media analytics has become
extremely important issue for organization and modern
researchers to extract promising outcomes using the
emerging fields like Bigdata Analytics, Deep Learning
and others. This paper is an overview of various phases
involved in social media analytics, with focus on most of
the open source tools useful for researchers while there a
numerous proprietary tools for more complicated and real
time analytics.
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