scholarly journals MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data

2018 ◽  
pp. 582-595
Author(s):  
Yaocheng Zhang ◽  
Wei Ren ◽  
Tianqing Zhu ◽  
Wei Bi
Keyword(s):  
Big Data ◽  
Sentiment Analysis ◽  
Mobile Application ◽  
Analysis System

scholarly journals MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data

Symmetry ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 115 ◽  
Author(s):  
Yaocheng Zhang ◽  
Wei Ren ◽  
Tianqing Zhu ◽  
Ehoche Faith
Keyword(s):  
Sentiment Analysis ◽  
Interaction Design ◽  
Mobile Application ◽  
Situational Awareness ◽  
Mobile Internet ◽  
The Public ◽  
Public Sentiment ◽  
High Altitude Area ◽  
Sentiment Dictionary ◽  
Analysis System

The development of mobile internet has led to a massive amount of data being generated from mobile devices daily, which has become a source for analyzing human behavior and trends in public sentiment. In this paper, we build a system called MoSa (Mobile Sentiment analysis) to analyze this data. In this system, sentiment analysis is used to analyze news comments on the THAAD (Terminal High Altitude Area Defense) event from Toutiao by employing algorithms to calculate the sentiment value of the comment. This paper is based on HowNet; after the comparison of different sentiment dictionaries, we discover that the method proposed in this paper, which use a mixed sentiment dictionary, has a higher accuracy rate in its analysis of comment sentiment tendency. We then statistically analyze the relevant attributes of the comments and their sentiment values and discover that the standard deviation of the comments’ sentiment value can quickly reflect sentiment changes among the public. Besides that, we also derive some special models from the data that can reflect some specific characteristics. We find that the intrinsic characteristics of situational awareness have implicit symmetry. By using our system, people can obtain some practical results to guide interaction design in applications including mobile Internet, social networks, and blockchain based crowdsourcing.

scholarly journals Sentiment Analysis System in Big Data Environment

2018 ◽  
Vol 33 (3) ◽  
pp. 187-202
Author(s):  
Wint Nyein Chan ◽  
Thandar Thein
Keyword(s):  
Big Data ◽  
Sentiment Analysis ◽  
Data Environment ◽  
Analysis System

scholarly journals Enhanced concept-level sentiment analysis system with expanded ontological relations for efficient classification of user reviews

2021 ◽  
Author(s):  
Asad Khattak ◽  
Muhammad Zubair Asghar ◽  
Zain Ishaq ◽  
Waqas Haider Bangyal ◽  
Ibrahim A Hameed
Keyword(s):  
Sentiment Analysis ◽  
User Reviews ◽  
Analysis System

scholarly journals Study on Economic Activity Analysis based on the Interaction of “Operation, Value and Performance”

2020 ◽  
Vol 165 ◽  
pp. 06009
Author(s):  
Jie Gao
Keyword(s):  
Big Data ◽  
Economic Activity ◽  
Corporate Strategy ◽  
Activity Analysis ◽  
Operating Efficiency ◽  
Analysis Model ◽  
Business Decision ◽  
Traceability Analysis ◽  
And Performance ◽  
Analysis System

In order to meet external regulation and challenges, and improve the quality of internal economic activity analysis, this study establishes a linkage analysis system from corporate strategy to strategic objectives to financial indicators to business indicators by building 3 independent and interrelated analysis models. One of them is the model of influencing factors of change of operating efficiency index, one of them is the traceability analysis model of the sales of electricity and electricity price, and the last one is an investment performance traceability analysis model. In this study, the actual data of a unit is used as an example. With the help of big data analysis, we fully tap the value of the company’s big data, accurately locate the weak links and risk points of management. By doing this we finely promote economic activity analysis system more comprehensive, more real-time, more dynamic and more intelligent, and thus improve the efficiency of business decision-making. The practicality of economic activity analysis based on “operation, value and performance” is confirmed.

scholarly journals Overview and Future Opportunities of Sentiment Analysis Approaches for Big Data

2016 ◽  
Vol 12 (3) ◽  
pp. 153-168 ◽  
Author(s):  
Nurfadhlina Mohd Sharef ◽  
Harnani Mat Zin ◽  
Samaneh Nadali
Keyword(s):  
Big Data ◽  
Sentiment Analysis
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