文章基本信息

标题：The Impact of using Social Network on Academic Performance by using Contextual and Localized Data Analysis of Facebook Groups
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作者：Muhammad Aqeel ; Mukarram Pasha ; Muhammad Saeed 等
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
DOI：10.14569/IJACSA.2019.0101252
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