期刊
INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS
卷 16, 期 1, 页码 116-145出版社
IGI GLOBAL
DOI: 10.4018/IJSWIS.2020010106
关键词
Cloud Service; Dictionary; Fuzzy-Logic; Hashtag; Sentiment Analysis; Tweet; Twitter; Word Polarity
资金
- King Abdulaziz City for Science and Technology (KACST) [1-17-02-009-0014]
Recently, sentiment analysis of social media has become a hot topic because of the huge amount of information that is provided in these networks. Twitter is a popular social media application offers businesses and government the opportunities to share and acquire information. This article proposes a technique that aims at measuring customers' satisfaction with cloud service providers, based on their tweets. Existing techniques focused on classifying sentimental text as either positive or negative, while the proposed technique classifies the tweets into five categories to provide better information. A hybrid approach of dictionary-based and Fuzzy Inference Process (FIP) is developed for this purpose. This direction was selected for its advantages and flexibility in addressing complex problems, using terms that reflect on human behaviors and experiences. The proposed hybrid-based technique used fuzzy systems in order to accurately identify the sentiment of the input text while addressing the challenges that are facing sentiment analysis using various fuzzy parameters.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据