Nowadays, in a social and semantic context, the web contains millions of data, generic information
and opinions. The semantic techonology, using specific ontologies, is very important to represent the web
knowledge and to understand the meaning of online textual information. To extract useful knowledge and
sentiment (positivity or negativity) of opinions it is necessary to have a model that interpreters this information
from both semantic and sentiment point of view. In this paper, after the analysis of the web semantic
architecture, we describe a framework of sentiment analysis to interpret and extract the sentiment of opinions
expressed by people about a product/service, public administrator or law.
Nowadays, in a social and semantic context, the web contains millions of data, generic information
and opinions. The semantic techonology, using specific ontologies, is very important to represent the web
knowledge and to understand the meaning of online textual information. To extract useful knowledge and
sentiment (positivity or negativity) of opinions it is necessary to have a model that interpreters this information
from both semantic and sentiment point of view. In this paper, after the analysis of the web semantic
architecture, we describe a framework of sentiment analysis to interpret and extract the sentiment of opinions
expressed by people about a product/service, public administrator or law.
Birincil Dil | İngilizce |
---|---|
Bölüm | Makaleler |
Yazarlar | |
Yayımlanma Tarihi | 1 Haziran 2012 |
Yayımlandığı Sayı | Yıl 2012 Cilt: 7 Sayı: 1 |