Contributo in atti di convegno, 2013, ENG

Changeable Polarity of Verbs through Emotions' Attribution in Crowdsourcing Experiments

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

Keywords

emotion attribution, connotations of verbs, empathy

CNR authors

Russo Irene

CNR institutes

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 links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

URL: http://ceur-ws.org/Vol-1096/paper9.pdf

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:288005

Scopus: 2-s2.0-84922966587