Resumen
Natural Language Processing (NLP) techniques are increasingly powerful for interpreting a person's feelings and reaction to a product or service. Sentiment analysis has become a fundamental tool for this interpretation, and it has studies in languages other than English. This type of application is uncommon and unheard of in Portuguese. This article presents a sentiment analysis classification based on Portuguese social media comments. Representation of word embeddings with both pre-trained Glove and Word2Vec models were generated through a corpus entirely in Portuguese. This article presents a set of results with different models of pre-trained layers and deep learning models exclusive to the Portuguese language on social networks. Two classification models were used and compared: (i) Bidirectional Long Short-Term Memory (BI-LSTM) and (ii) Bidirectional Gated Recurrent Unit (BI-GRU), achieving accuracy results of 99.1
Idioma original | Inglés estadounidense |
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Páginas | 205-209 |
Número de páginas | 5 |
DOI | |
Estado | Publicada - dic. 16 2022 |
Evento | 6th International Conference on Natural Language Processing and Information Retrieval, NLPIR 2022 - Bangkok, Tailandia Duración: dic. 16 2022 → dic. 18 2022 |
Conferencia
Conferencia | 6th International Conference on Natural Language Processing and Information Retrieval, NLPIR 2022 |
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País/Territorio | Tailandia |
Ciudad | Bangkok |
Período | 12/16/22 → 12/18/22 |
Áreas temáticas de ASJC Scopus
- Interacción persona-ordenador
- Redes de ordenadores y comunicaciones
- Visión artificial y reconocimiento de patrones
- Software