SocialMediahasbecomeoneofthemajorindustriesintheworld.Ithasbeennotedthatalmost threefourthoftheworld’spopulationusesocialmedia.Thishasinstigatedmanyresearchestowards socialmedia.Onesuchusefulapplicationisthesentimentalanalysisofrealtimesocialmediadata forsecuritypurposes.Theinsightsthataregeneratedcanbeusedbylawenforcementagenciesand forintelligencepurposes.Therearemanytypesofanalysesthathavebeendoneforsecuritypurposes. Here,theauthorsproposeacomprehensivesoftwareapplicationwhichwillmeticulouslyscrapedata fromTwitterandanalysethemusingthelexiconbasedanalysistolookforpossiblethreats.They proposeamethodologytoobtainaquantitativeresultcalledcriticalitytoassessthelevelofthreatfor apublicevent.Theresultscanbeusedtounderstandpeople’sopinionsandcommentswithregardto specificevents.Theproposedsystemcombinesthislexiconbasedsentimentalanalysisalongwith deepdatacollectionandsegregatestheemotionsintodifferentlevelstoanalysethethreatforanevent. KEywORdS Artificial Intelligence, Human-Computer Interaction, Lexicon Based Sentimental Analysis, Security, Social Aspects, Social Media Analytics

中文翻译：

---

用于估计事件的严重性和安全性的推文的情感分析

可以将结果用于了解人们对特定事件的看法和意见。建议的系统结合了这种基于词典的情感分析。连同深入的数据收集，将情感分解为不同的级别，以分析事件的威胁。人工智能，人机交互，基于词表的情感分析，安全性，社交方面，社交媒体分析