Feeling Analysis for Sadness and Happiness using Google n-gram Database
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The 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.
Açıklama
3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEG
Anahtar Kelimeler
Feeling Extraction, Sadness Analyses, Happiness Analyses, Feeling Prediction, Feeling Mining, Google N-Grams
Kaynak
2018 3rd International Conference on Computer Science and Engineering (Ubmk)
WoS Q Değeri
N/A
