Sentiment Analysis for Video on Demand Application User Satisfaction with Long Short Term Memory Model
Customer reviews are important information that can be used by providers of goods or services to maintain customer loyalty, understand customer feelings and analyze the business competition. Users use customer feedback on social media or e-commerce as material for consideration before using or buyin...
Guardado en:
Autores principales: | Khayatun Nufus Gina, Mustafid Mustafid, Gernowo Rahmat |
---|---|
Formato: | article |
Lenguaje: | EN FR |
Publicado: |
EDP Sciences
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1fef7db797934a05bd8a6bc5a18f799d |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Forecasting Hotel Room Occupancy Using Long Short-Term Memory Networks with Sentiment Analysis and Scores of Customer Online Reviews
por: Yu-Ming Chang, et al.
Publicado: (2021) -
Short term prediction of wind speed based on long-short term memory networks
por: Salman Umar T., et al.
Publicado: (2021) -
Prediction of conotoxin type based on long short-term memory network
por: Feng Wang, et al.
Publicado: (2021) -
Temporal information processing in short- and long-term memory of patients with schizophrenia.
por: Steffen Landgraf, et al.
Publicado: (2011) -
A Process-Aware Memory Compact-Device Model Using Long-Short Term Memory
por: Albert S. Lin, et al.
Publicado: (2021)