Cargando…
A Two-Stage Voting-Boosting Technique for Ensemble Learning in Social Network Sentiment Classification
In recent years, social network sentiment classification has been extensively researched and applied in various fields, such as opinion monitoring, market analysis, and commodity feedback. The ensemble approach has achieved remarkable results in sentiment classification tasks due to its superior per...
Autores principales: | Cui, Su, Han, Yiliang, Duan, Yifei, Li, Yu, Zhu, Shuaishuai, Song, Chaoyue |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137704/ https://www.ncbi.nlm.nih.gov/pubmed/37190343 http://dx.doi.org/10.3390/e25040555 |
Ejemplares similares
-
Voting Ensemble Approach for Enhancing Alzheimer’s Disease Classification
por: Chatterjee, Subhajit, et al.
Publicado: (2022) -
Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification
por: Walid, Md. Abul Ala, et al.
Publicado: (2023) -
Collaborative driving style classification method enabled by majority voting ensemble learning for enhancing classification performance
por: Guo, Yi, et al.
Publicado: (2021) -
Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism
por: Aurangzeb, Sana, et al.
Publicado: (2023) -
Self voting classification model for online meeting app review sentiment analysis and topic modeling
por: Aslam, Naila, et al.
Publicado: (2022)