DocumentCode
3673566
Title
Social Opinion Mining: An Approach for Italian Language
Author
Vito Santarcangelo;Giuseppe Oddo;Maria Pilato;Fabrizio Valenti;Claudio Fornaro
Author_Institution
Centro Studi S.r.l., Buccino, Italy
fYear
2015
Firstpage
693
Lastpage
697
Abstract
Opinion Mining or Sentiment Analysis is an important Computer Science topic, that allows the discovery of the web user´s attitude on one or more topics. Marketing, Social Engineering and Information Retrieval are achieved through the application of Opinion Mining on Web Data. Today Social Networks represent one of the most important places on the web for sharing information, media and opinions (26% of people have accounts on Social Networks). Integration with the opinions on social networks and social communities can improve the relevancy and quality of Opinion Mining Tools. This paper discusses how Social Networks Mining represents one of the most important tasks for Opinion Mining Systems, considering the state of art literature. Then, we will show an interesting approach based on ADJECTIVES (A), INTENSIFIERS (I) and NEGATIONS (N) (called AIN) developed for Italian. This approach is based on the use of an Italian Sentiment Thesaurus (AIN Thesaurus), developed by the authors and presented in this work.
Keywords
"Thesauri","Data mining","Measurement","Sentiment analysis","Databases","Twitter"
Publisher
ieee
Conference_Titel
Future Internet of Things and Cloud (FiCloud), 2015 3rd International Conference on
Type
conf
DOI
10.1109/FiCloud.2015.52
Filename
7300889
Link To Document