Cargando…
Context-based sentiment analysis on customer reviews using machine learning linear models
Customer satisfaction and their positive sentiments are some of the various goals for successful companies. However, analyzing customer reviews to predict accurate sentiments have been proven to be challenging and time-consuming due to high volumes of collected data from various sources. Several res...
Autores principales: | Chinnalagu, Anandan, Durairaj, Ashok Kumar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725657/ https://www.ncbi.nlm.nih.gov/pubmed/35036535 http://dx.doi.org/10.7717/peerj-cs.813 |
Ejemplares similares
-
Performance analysis of aspect-level sentiment classification task based on different deep learning models
por: Cao, Feifei, et al.
Publicado: (2023) -
Requests classification in the customer service area for software companies using machine learning and natural language processing
por: Arias-Barahona, María Ximena, et al.
Publicado: (2023) -
On the frontiers of Twitter data and sentiment analysis in election prediction: a review
por: Alvi, Quratulain, et al.
Publicado: (2023) -
Integrating multi-criteria decision-making with hybrid deep learning for sentiment analysis in recommender systems
por: Angamuthu, Swathi, et al.
Publicado: (2023) -
Design of adaptive ensemble classifier for online sentiment analysis and opinion mining
por: Kumar, Sanjeev, et al.
Publicado: (2021)