Feeling Analysis for Sadness and Happiness using Google n-gram Database

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dc.authoridDönmez, İlknur/0000-0002-8344-1180|Battini Sonmez, Elena/0000-0003-0090-984X
dc.authorwosidDönmez, İlknur/AAV-7386-2020
dc.authorwosidBattini Sonmez, Elena/AAZ-6358-2021
dc.contributor.authorDonmez, Ilknur
dc.contributor.authorSonmez, Elena Battini
dc.date.accessioned2024-07-18T20:52:24Z
dc.date.available2024-07-18T20:52:24Z
dc.date.issued2018
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEGen_US
dc.description.abstractThe current era has been defined as Digital Age and Information Age since it is characterized by an exponential grow of data, generated by both human, i.e. social environments, and machine, i.e. Internet of things. The challenge is to convert data into information, by analyzing the data and discovering patterns hidden inside it. In this paper the two basic human feelings of Happiness and Sadness are extracted from a subset of Google n-grams corpus and analyzed. Google n-grams corpus is generated from millions of scanned books published between year 1500 and 2008; it can be considered as an indicator for human specific feature and behavior. Under the hypothesis that user's emotion can he extrapolated by the frequency of the corresponding emotional words, this study applies regression to predict the importance of the Happiness and Sadness emotional states in future years.en_US
dc.description.sponsorshipBMBB,Istanbul Teknik Univ,Gazi Univ,ATILIM Univ,Int Univ Sarajevo,Kocaeli Univ,TURKiYE BiLiSiM VAKFIen_US
dc.identifier.endpage60en_US
dc.identifier.isbn978-1-5386-7893-0
dc.identifier.startpage56en_US
dc.identifier.urihttps://hdl.handle.net/11411/8665
dc.identifier.wosWOS:000459847400012en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 3rd International Conference on Computer Science and Engineering (Ubmk)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFeeling Extractionen_US
dc.subjectSadness Analysesen_US
dc.subjectHappiness Analysesen_US
dc.subjectFeeling Predictionen_US
dc.subjectFeeling Miningen_US
dc.subjectGoogle N-Gramsen_US
dc.titleFeeling Analysis for Sadness and Happiness using Google n-gram Databaseen_US
dc.typeConference Objecten_US

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