Optimizing an LSTM Self-Attention Architecture for Portuguese Sentiment Analysis Using a Genetic Algorithm
A sentiment analysis is a Natural Language Processing (NLP) task that identifies the opinion or emotional tone of documents such as customer reviews, either at the general or detailed level. Improving domain-specific models is important, as it provides smaller and better-suited models that can be im...
Saved in:
| Main Authors: | Daniel Parada, Alexandre Branco, Marcos Silva, Fábio Mendonça, Sheikh Mostafa, Fernando Morgado-Dias |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/11/6336 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language
by: Émerson Philippe Lopes, et al.
Published: (2022-05-01) -
BERTimbau in Action: An Investigation of its Abilities in Sentiment Analysis, Aspect Extraction, Hate Speech Detection, and Irony Detection.
by: Julia da Rocha Junqueira, et al.
Published: (2023-05-01) -
BiLSTM-Based Parallel CNN Models With Attention and Ensemble Mechanism for Twitter Sentiment Analysis
by: Anas W. Abulfaraj
Published: (2025-01-01) -
Research on sentiment index and real estate demand forecasting based on BERT-BiLSTM and ADL-MIDAS models
by: Mengkai Chen, et al.
Published: (2025-08-01) -
Sentiment Analysis and Trend Mapping of Hotel Reviews Using LSTM and GRU
by: Yerik Afrianto Singgalen
Published: (2024-12-01)