| Autor: |
Barrios González, Erick, Tovar Vidal, Mireya, Reyes-Ortiz, José A., Zacarias Flores, Fernando, Bello López, Pedro |
| Předmět: |
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| Zdroj: |
International Journal of Combinatorial Optimization Problems & Informatics; Jan-Apr2023, Vol. 14 Issue 1, p27-38, 12p |
| Abstrakt: |
This paper reviews the implementation of three pretrained models based on BERT ("bert-base-multilingual-cased", "IIC/beto-base-spanish-sqac" and "MarcBrun/ixambertfinetuned-squad-eu-en") to solve tasks 1.1 and 1.2 of "Workshop on Semantic Analysis at SEPLN 2020" (TASS 2020), these tasks consist of the polarity analysis of tweets in Spanish from different Spanish-speaking countries. The proposed models are evaluated individually by pre-processing and replacing synonyms. This research is carried out to find the points to improve in the polarity analysis of tweets (tweets), mainly in how the pre-trained models interpret words that are not in their vocabulary due to variations in the language, regional expressions, misspellings, and use of emojis. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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