{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:32:04Z","timestamp":1760239924696,"version":"build-2065373602"},"reference-count":18,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2019,1,19]],"date-time":"2019-01-19T00:00:00Z","timestamp":1547856000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Major Scientific and Technological Special Project of  Guizhou Province","award":["No. 20183001"],"award-info":[{"award-number":["No. 20183001"]}]},{"name":"Guizhou Provincial Key Laboratory of Public Big Data","award":["No. 2018BDKFJJ009,2017BDKFJJ006"],"award-info":[{"award-number":["No. 2018BDKFJJ009,2017BDKFJJ006"]}]},{"name":"Hubei Provincial Key Laboratory of Intelligent Geo-Information Processing","award":["No. KLIGIP2016A05"],"award-info":[{"award-number":["No. KLIGIP2016A05"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>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\u2019 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.<\/jats:p>","DOI":"10.3390\/sym11010115","type":"journal-article","created":{"date-parts":[[2019,1,22]],"date-time":"2019-01-22T03:08:22Z","timestamp":1548126502000},"page":"115","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data"],"prefix":"10.3390","volume":"11","author":[{"given":"Yaocheng","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430074, China"},{"name":"Guizhou Provincial Key Laboratory of Public Big Data, GuiZhou University, Guizhou 550025, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8590-1737","authenticated-orcid":false,"given":"Wei","family":"Ren","sequence":"additional","affiliation":[{"name":"School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430074, China"},{"name":"Guizhou Provincial Key Laboratory of Public Big Data, GuiZhou University, Guizhou 550025, China"},{"name":"Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences (Wuhan), Wuhan 430074, China"}]},{"given":"Tianqing","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430074, China"},{"name":"School of Software, University of Technology Sydney, Ultimo, NSW 2007, Australia"}]},{"given":"Ehoche","family":"Faith","sequence":"additional","affiliation":[{"name":"School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430074, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1016\/j.future.2017.08.014","article-title":"Enhancing network capacity by weakening community structure in scale-free network","volume":"87","author":"Cai","year":"2018","journal-title":"Future Gener. 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Syst."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/11\/1\/115\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:27:20Z","timestamp":1760185640000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/11\/1\/115"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,19]]},"references-count":18,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,1]]}},"alternative-id":["sym11010115"],"URL":"https:\/\/doi.org\/10.3390\/sym11010115","relation":{},"ISSN":["2073-8994"],"issn-type":[{"type":"electronic","value":"2073-8994"}],"subject":[],"published":{"date-parts":[[2019,1,19]]}}}