Contributo in atti di convegno, 2013, ENG
Irene Russo, Tommaso Caselli
ILC CNR, Trento RISE
Sentiment analysis and emotion detection are tasks with common features but rarely related because they tend to categorize the objects of their studies according to different categories, i.e. positive, negative and neutral values in SA, and emotion labels such as "joy", "anger" etc. in emotion detection. In this paper we try to bridge this gap, reporting on three crowdsourcing experiments to collect speakers' intuitions on emotion(s) associated with events denoted by verbs and propose to set contextual polarity values on the basis of the selected emotions. In this way we suggest a methodology to handle connotational meanings of verbs that can help to refine automatic sentiment analysis on social media, where shared contents are often short reports on pleasant or unpleasant events and activities.
First International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI (ESSEM 2013) A workshop of the XIII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), pp. 131–139, Torino, 3 dicembre
emotion attribution, connotations of verbs, empathy
ILC – Istituto di linguistica computazionale "Antonio Zampolli"
ID: 288005
Year: 2013
Type: Contributo in atti di convegno
Creation: 2014-11-22 12:50:26.000
Last update: 2017-03-02 11:32:55.000
CNR authors
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:288005
Scopus: 2-s2.0-84922966587