In this paper we describe our approach to EVALITA 2014 SENTIment POLarity Classification (SENTIPOLC) task. We participated only in the Polarity Classification sub-task. By resorting to a wide set of general-purpose features qualifying the lexical and grammatical structure of a text, automatically created ad-hoc lexicons and existing free available resources, we achieved the second best accuracy.
Linguistically-motivated and Lexicon Features for Sentiment Analysis of Italian Tweets
Stefano Cresci;Felice Dell'Orletta;Maurizio Tesconi
2014
Abstract
In this paper we describe our approach to EVALITA 2014 SENTIment POLarity Classification (SENTIPOLC) task. We participated only in the Polarity Classification sub-task. By resorting to a wide set of general-purpose features qualifying the lexical and grammatical structure of a text, automatically created ad-hoc lexicons and existing free available resources, we achieved the second best accuracy.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di informatica e telematica - IIT | - |
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | - |
| dc.authority.people | Andrea Cimino | it |
| dc.authority.people | Stefano Cresci | it |
| dc.authority.people | Felice Dell'Orletta | it |
| dc.authority.people | Maurizio Tesconi | it |
| dc.collection.id.s | 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d | * |
| dc.collection.name | 04.01 Contributo in Atti di convegno | * |
| dc.contributor.appartenenza | Istituto di informatica e telematica - IIT | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 912 | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/02/17 19:50:39 | - |
| dc.date.available | 2024/02/17 19:50:39 | - |
| dc.date.issued | 2014 | - |
| dc.description.abstracteng | In this paper we describe our approach to EVALITA 2014 SENTIment POLarity Classification (SENTIPOLC) task. We participated only in the Polarity Classification sub-task. By resorting to a wide set of general-purpose features qualifying the lexical and grammatical structure of a text, automatically created ad-hoc lexicons and existing free available resources, we achieved the second best accuracy. | - |
| dc.description.affiliations | IIT-CNR, ILC-CNR | - |
| dc.description.allpeople | Cimino, Andrea; Cresci, Stefano; Dell'Orletta, Felice; Tesconi, Maurizio | - |
| dc.description.allpeopleoriginal | Andrea Cimino, Stefano Cresci, Felice Dell'Orletta, Maurizio Tesconi | - |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 4 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/255596 | - |
| dc.language.iso | eng | - |
| dc.relation.conferencename | The 4th Conference for Evaluation of NLP and Speech Tools for Italian (EVALITA) | - |
| dc.relation.conferenceplace | Pisa | - |
| dc.subject.keywords | Lexicons resources | - |
| dc.subject.singlekeyword | Lexicons resources | * |
| dc.title | Linguistically-motivated and Lexicon Features for Sentiment Analysis of Italian Tweets | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.01 Contributo in Atti di convegno | it |
| dc.type.miur | 273 | - |
| dc.ugov.descaux1 | 294105 | - |
| iris.orcid.lastModifiedDate | 2024/04/04 19:10:13 | * |
| iris.orcid.lastModifiedMillisecond | 1712250613646 | * |
| iris.sitodocente.maxattempts | 1 | - |
| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
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