Add to ORKGInternational audienceThe huge amount of information streaming from online social networking is increasingly attracting the interest of researchers on sentiment analysis on micro-blogging platforms. We provide an overview on the open challenges of sentiment analysis on Italian tweets. We discuss methodological issues as well as new directions for investigation with particular focus on sentiment analysis of tweets containing figurative language and entity-based sentiment analysis of micro-posts
none3noL’articolo si propone di investigare l’impatto delle comunicazioni istituzionali durante la c...
This research investigates Instagram users’ sentiment narrated during the lockdown period in Italy, ...
The paper focuses on a case–study: a corpus of 1234 Italian tweets in reply to Pope Francis’ ecologi...
International audienceThe huge amount of information streaming from online social networking is incr...
Sentiment analysis in social media is a popular task attracting the interest of the research communi...
With the proliferation of social media, textual emotion analysis is becoming increasingly important....
Microblogging platforms like Twitter can convey short messages to direct contacts, but also to other...
Sentiment analysis in social media is a popular task attracting the interest of the research communi...
This paper describes the UNIBA team participation in the Sentiment Analysis in Twitter task (Task 10...
In this paper, we propose a classifier for predicting sentiments of Italian Twitter messages. This w...
With the emergence of the interactive Web 2.0, the amount of opinionated online text has grown immen...
This study aims at analysing sentiments and emotions expressed by Twitter users at the onset of the ...
The paper describes our sub-mission to the task 2 of SENTIment POLarity Classification in Italian Tw...
The paper describes the ongoing experience at the University of Turin in developing linguistic resou...
In recent years, micro-blogging on the Internet has become a popular way of expressing your thoughts...
none3noL’articolo si propone di investigare l’impatto delle comunicazioni istituzionali durante la c...
This research investigates Instagram users’ sentiment narrated during the lockdown period in Italy, ...
The paper focuses on a case–study: a corpus of 1234 Italian tweets in reply to Pope Francis’ ecologi...
International audienceThe huge amount of information streaming from online social networking is incr...
Sentiment analysis in social media is a popular task attracting the interest of the research communi...
With the proliferation of social media, textual emotion analysis is becoming increasingly important....
Microblogging platforms like Twitter can convey short messages to direct contacts, but also to other...
Sentiment analysis in social media is a popular task attracting the interest of the research communi...
This paper describes the UNIBA team participation in the Sentiment Analysis in Twitter task (Task 10...
In this paper, we propose a classifier for predicting sentiments of Italian Twitter messages. This w...
With the emergence of the interactive Web 2.0, the amount of opinionated online text has grown immen...
This study aims at analysing sentiments and emotions expressed by Twitter users at the onset of the ...
The paper describes our sub-mission to the task 2 of SENTIment POLarity Classification in Italian Tw...
The paper describes the ongoing experience at the University of Turin in developing linguistic resou...
In recent years, micro-blogging on the Internet has become a popular way of expressing your thoughts...
none3noL’articolo si propone di investigare l’impatto delle comunicazioni istituzionali durante la c...
This research investigates Instagram users’ sentiment narrated during the lockdown period in Italy, ...
The paper focuses on a case–study: a corpus of 1234 Italian tweets in reply to Pope Francis’ ecologi...