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Linked-data based domain-specific sentiment lexicons
Cita
Vulcu, Gabriela, Lario Monje, Raúl, Muñoz, Mario, Buitelaar, Paul and Iglesias Fernández, Carlos Ángel 
ORCID: https://orcid.org/0000-0002-1755-2712
(2014).
Linked-data based domain-specific sentiment lexicons.
En: "3rd Workshop on Linked Data in Linguistics (LDL 2014): Multilingual Knowledge Resources and Natural Language Processing", 27/05/2014, Reykjavik, Iceland. pp. 76-80.
ORCID: https://orcid.org/0000-0002-1755-2712
(2014).
Linked-data based domain-specific sentiment lexicons.
En: "3rd Workshop on Linked Data in Linguistics (LDL 2014): Multilingual Knowledge Resources and Natural Language Processing", 27/05/2014, Reykjavik, Iceland. pp. 76-80.
Descripción
| Título: | Linked-data based domain-specific sentiment lexicons |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 3rd Workshop on Linked Data in Linguistics (LDL 2014): Multilingual Knowledge Resources and Natural Language Processing |
| Fechas del Evento: | 27/05/2014 |
| Lugar del Evento: | Reykjavik, Iceland |
| Título del Libro: | 3rd Workshop on Linked Data in Linguistics (LDL 2014): Multilingual Knowledge Resources and Natural Language Processing |
| Fecha: | 2014 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Domain specific lexicon, sentiment analysis |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Ingeniería de Sistemas Telemáticos |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
In this paper we present a dataset componsed of domain-specific sentiment lexicons in six languages for two domains. We used existing collections of reviews from Trip Advisor, Amazon, the Stanford Network Analysis Project and the OpinRank Review Dataset. We use an RDF model based on the lemon and Marl formats to represent the lexicons. We describe the methodology that we applied to generate the domain-specific lexicons and we provide access information to our datasets.
Proyectos asociados
Tipo
Código
Acrónimo
Responsable
Título
FP7
296277
EUROSENTIMENT
PARADIGMA TECNOLOGICO SL
Language Resource Pool for Sentiment Analysis in European Languages
Más información
| ID de Registro: | 37186 |
|---|---|
| Identificador DC: | https://oa.upm.es/37186/ |
| Identificador OAI: | oai:oa.upm.es:37186 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 01 Ago 2015 11:48 |
| Ultima Modificación: | 01 Abr 2023 09:43 |
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