Analyzing Customer Reviews on Social Media via Applying Association Rule
作者机构：Department of Computer and Information SystemsSadat Academy for Management SciencesCairo11742Egypt Faculty of computers and InformationDepartment of Computer ScienceKafr el Sheikh UniversityKafr El Sheikh33511Egypt
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2021年第68卷第8期
页 面：1519-1530页
核心收录：
学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学]
基 金：The authors received no specific funding for this study
主 题：Machine learning text mining social media big data association rule document clustering
摘 要：The rapid growth of the use of social media opens up new challenges and opportunities to analyze various aspects and patterns in ***-text mining,several techniques are available such as information clustering,extraction,summarization,*** this study,a text mining framework was presented which consists of 4 phases retrieving,processing,indexing,and mine association rule *** is applied by using the association rule mining technique to check the associated term with the Huawei P30 Pro *** reviews are extracted from many websites and Facebook groups,such as ***,*** and *** technology,where customers from all over the world placed their notes on cell *** this analysis,a total of 192 reviews of Huawei P30 Pro were collected to evaluate them by text mining *** findings demonstrate that Huawei P30 Pro,has strong points such as the best safety,high-quality camera,battery that lasts more than 24 hours,and the processor is very *** paper aims to prove that text mining decreases human efforts by recognizing significant *** will lead to improving the awareness of customers to choose their products and at the same time sales managers also get to know what their products were accepted by customers suspended.
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