期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：12
页码：1-6
出版社：Science and Information Society (SAI)
摘要：Social Networks due to their intrinsic nature of
being addictive have become an integral part of our civilization
and plays an important role in our daily interactions. Facebook
being the largest global online network, is used as a primary
platform for carrying out our study and hypothesis testing. We
built a web crawler for data extraction and used that data for our
analysis. Primary goal of this study is to identify patterns among
members of a Facebook group using a contextual and localised
approach. We also intend to validate some hypotheses using a
data driven approach like comparison of student’s social
participation and activeness with actual class participation and
its impact on his/her grades. We have also used user interactions
in Facebook groups for identifying close relationships. The
polarity of content in a group’s comments and posts defines a lot
about that group and is also conferred in this paper.
关键词：Social networks; data analysis; data mining; NLP;
sentiment analysis
