| dc.contributor | Universitat Ramon Llull. La Salle | |
| dc.contributor.author | Trilla Castelló, Alexandre | |
| dc.contributor.author | Alías Pujol, Francesc | |
| dc.date.accessioned | 2020-07-06T12:02:39Z | |
| dc.date.accessioned | 2023-07-13T09:51:51Z | |
| dc.date.available | 2020-07-06T12:02:39Z | |
| dc.date.available | 2023-07-13T09:51:51Z | |
| dc.date.issued | 2009-09-06 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.14342/2876 | |
| dc.description.abstract | This paper presents a text classifier for automatically taggingthe sentiment of input text according to the emotion that is beingconveyed. This system has a pipelined framework composedof Natural Language Processing modules for feature extractionand a hard binary classifier for decision making between posi-tive and negative categories. To do so, the Semeval 2007 datasetcomposed of sentences emotionally annotated is used for train-ing purposes after being mapped into a model of affect. Theresulting scheme stands a first step towards a complete emotionclassifier for a future automatic expressive text-to-speech syn-thesizer. | eng |
| dc.format.extent | 4 p. | cat |
| dc.language.iso | eng | cat |
| dc.publisher | 10th Annual Conference of the International Speech Communication Association. INTERSPEECH 2009 | cat |
| dc.rights | © International Speech Communitacion Association. Tots els drets reservats | |
| dc.source | RECERCAT (Dipòsit de la Recerca de Catalunya) | |
| dc.subject.other | Parla | cat |
| dc.subject.other | Processament de la parla | cat |
| dc.title | Sentiment classification in English from sentence-levelannotations of emotions regarding models of affect | cat |
| dc.type | info:eu-repo/semantics/article | cat |
| dc.type | info:eu-repo/semantics/publishedVersion | cat |
| dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
| dc.embargo.terms | cap | cat |
