Cargando…
Online Brand Community User Segments: A Text Mining Approach
There is a trend that customers increasingly join the online brand community. However, evidence shows that there are nuances between different user segments, and only a small group of users are active. Thus, one key concern marketers face is identifying and targeting specific segments and decreasing...
Autores principales: | Ge, Ruichen, Zhao, Hong, Zhang, Sha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339712/ https://www.ncbi.nlm.nih.gov/pubmed/35923837 http://dx.doi.org/10.3389/frai.2022.900775 |
Ejemplares similares
-
Unsupervised Text Segmentation Predicts Eye Fixations During Reading
por: Yang, Jinbiao, et al.
Publicado: (2022) -
Improving text mining in plant health domain with GAN and/or pre-trained language model
por: Jiang, Shufan, et al.
Publicado: (2023) -
Text-mining forma mentis networks reconstruct public perception of the STEM gender gap in social media
por: Stella, Massimo
Publicado: (2020) -
Introducing DynaPTI–constructing a dynamic patent technology indicator using text mining and machine learning
por: Freunek, Michael, et al.
Publicado: (2023) -
Persian sentiment analysis of an online store independent of pre-processing using convolutional neural network with fastText embeddings
por: Shumaly, Sajjad, et al.
Publicado: (2021)