Cargando…
A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques
Sentiment Analysis (SA) of text reviews is an emerging concern in Natural Language Processing (NLP). It is a broadly active method for analyzing and extracting opinions from text using individual or ensemble learning techniques. This field has unquestionable potential in the digital world and social...
Autores principales: | Tiwari, Dimple, Nagpal, Bharti, Bhati, Bhoopesh Singh, Mishra, Ashutosh, Kumar, Manoj |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10091348/ https://www.ncbi.nlm.nih.gov/pubmed/37362894 http://dx.doi.org/10.1007/s10462-023-10472-w |
Ejemplares similares
-
KEAHT: A Knowledge-Enriched Attention-Based Hybrid Transformer Model for Social Sentiment Analysis
por: Tiwari, Dimple, et al.
Publicado: (2022) -
A Two-Stage Voting-Boosting Technique for Ensemble Learning in Social Network Sentiment Classification
por: Cui, Su, et al.
Publicado: (2023) -
Design of adaptive ensemble classifier for online sentiment analysis and opinion mining
por: Kumar, Sanjeev, et al.
Publicado: (2021) -
Sentiment analysis in social networks
por: Pozzi, Federico Alberto, et al.
Publicado: (2017) -
Improving Sentiment Analysis for Social Media Applications Using an Ensemble Deep Learning Language Model
por: Alsayat, Ahmed
Publicado: (2021)