Use of Gramatical Category for Sentiment Identification
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| Autores: | , , |
|---|---|
| 格式: | artículo original |
| 状态: | Versión publicada |
| Fecha de Publicación: | 2019 |
| 实物特征: | This research analyzes the impact of the filtering of word n-grams, using their grammatical category, on the identification of sentiment based on text comments from social networks in Spanish. The impact of filtering n-grams containing adjectives, adverbs and interjections was investigated. It was determined that it is possible to reduce the volume of processed data and at the same time achieve an improvement of up to 30 % in the accuracy when classifying an annotated corpus of test comments separating those that contain sentiment from those that do not. |
| País: | Portal de Revistas UCR |
| 机构: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| 语言: | Español |
| OAI Identifier: | oai:archivo.portal.ucr.ac.cr:article/39419 |
| 在线阅读: | https://archivo.revistas.ucr.ac.cr/index.php/kanina/article/view/39419 |
| Palabra clave: | natural language processing part o speech sentiment analysis procesamiento del lenguaje natural categoria gramatical análisis de sentimiento |