期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN:2278-1323
出版年度:2018
卷号:7
期号:1
页码:99-104
出版社:Shri Pannalal Research Institute of Technolgy
摘要:The rapid revolution of Social Network Sites (SNS) around the globe is presenting wide range of data that can be used in studies of sentiment analysis about certain products, brands, services ... etc. In addition, cloud computing fields had been one of the most interesting fields in research studies. In this paper, we used the sentiment analysis of top leading cloud service providers namely; Amazon and Microsoft Azure to analyze their customers' opinions and reviews. To do that, two datasets are extracted which are consisting of tweets that had either organizations' names or cloud names. We study, and analyze the way customers think about them. In this regard, many organizations tend to find out what do customers think or tweet about their products in order to effectively plan marketing campaigns and try to gain the positive impact of Word-of-Mouth. Results are analyzed and explained in details in term of polarity and emotions classifications to show the impact of sentiment analysis to support organizations decisions. We can note from the emotions classification results that, "joy" category is better for Microsoft Azure comparing to Amazon, The "sadness" percentage is larger for Amazon comparing to Microsoft Azure. Furthermore, we can note from the polarity classification that Microsoft Azure has 65% positive tweets compared 45% for Amazon. In addition, the results show that Amazon has 50% negative polarity compared 25% for Microsoft Azure.
关键词:Social Network Analysis (SNA); Cloud Computing; Amazon Web Services (AWS); Microsoft Azure; Sentiment Analysis