Linked-data based domain-specific sentiment lexicons
| Autor: | Vulcu, Gabriela, Lario Monje, Raúl, Muñoz, Mario, Buitelaar, Paul, Iglesias Fernandez, Carlos Angel |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | 3rd Workshop on Linked Data in Linguistics (LDL 2014): Multilingual Knowledge Resources and Natural Language Processing | 3rd Workshop on Linked Data in Linguistics (LDL 2014): Multilingual Knowledge Resources and Natural Language Processing | 27/05/2014 | Reykjavik, Iceland Archivo Digital UPM instname |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|