DocumentCode :
64989
Title :
Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT
Author :
Bosco, C. ; Patti, V. ; Bolioli, A.
Volume :
28
Issue :
2
fYear :
2013
fDate :
March-April 2013
Firstpage :
55
Lastpage :
63
Abstract :
Senti-TUT-an ongoing Italian project that investigates sentiment and irony in online political discussions-illustrates how to develop corpora for mining and analyzing opinion and sentiment in social media.
Keywords :
data analysis; data mining; politics; social networking (online); Irony project; Italian project; Senti-TUT project; corpora development; online political discussion; opinion analysis; opinion mining; sentiment analysis; sentiment mining; social media; Blogs; Context awareness; Emotion recognition; Media; Natural language processing; Pragmatics; Social network services; Syntactics; Twitter; Blogs; Context awareness; Emotion recognition; Media; Natural language processing; Pragmatics; Social network services; Syntactics; Twitter; corpora for sentiment analysis; intelligent systems; irony; opinion mining; social media;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2013.28
Filename :
6468031
Link To Document :
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