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Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources
Cita
Vulcu, Gabriela, Buitelaar, Paul, Negi, Sapna, Pereira, Bianca, Arcan, Mihael, Coughland, Barry, Sánchez Rada, Juan Fernando 
ORCID: https://orcid.org/0000-0003-3545-9252 and Iglesias Fernández, Carlos Ángel ORCID: https://orcid.org/0000-0002-1755-2712
(2014).
Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources.
En: "5th International Workshop on EMOTION, SOCIAL SIGNALS, SENTIMENT & LINKED OPEN DATA", 26/05/2014 - 27/05/2014, Reykjavik, Iceland. pp. 1-4.
ORCID: https://orcid.org/0000-0003-3545-9252 and Iglesias Fernández, Carlos Ángel ORCID: https://orcid.org/0000-0002-1755-2712
(2014).
Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources.
En: "5th International Workshop on EMOTION, SOCIAL SIGNALS, SENTIMENT & LINKED OPEN DATA", 26/05/2014 - 27/05/2014, Reykjavik, Iceland. pp. 1-4.
Descripción
| Título: | Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 5th International Workshop on EMOTION, SOCIAL SIGNALS, SENTIMENT & LINKED OPEN DATA |
| Fechas del Evento: | 26/05/2014 - 27/05/2014 |
| Lugar del Evento: | Reykjavik, Iceland |
| Título del Libro: | 5th International Workshop on EMOTION, SOCIAL SIGNALS, SENTIMENT & LINKED OPEN DATA |
| Fecha: | 2014 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Domain specific lexicon, entity extraction and linking, sentiment analysis |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Ingeniería de Sistemas Telemáticos |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
We present a methodology for legacy language resource adaptation that generates domain-specific sentiment lexicons organized around domain entities described with lexical information and sentiment words described in the context of these entities. We explain the steps of the methodology and we give a working example of our initial results. The resulting lexicons are modelled as Linked Data resources by use of established formats for Linguistic Linked Data (lemon, NIF) and for linked sentiment expressions (Marl), thereby contributing and linking to existing Language Resources in the Linguistic Linked Open Data cloud.
Más información
| ID de Registro: | 36449 |
|---|---|
| Identificador DC: | https://oa.upm.es/36449/ |
| Identificador OAI: | oai:oa.upm.es:36449 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 27 Jul 2015 17:18 |
| Ultima Modificación: | 01 Abr 2023 09:41 |
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