Cargando…

Consumers’ satisfaction factors mining and sentiment analysis of B2C online pharmacy reviews

BACKGROUND: In recent years, online pharmacies have been accepted by increasingly more consumers, and the prospects for online pharmacies are optimistic. This article explores the consumers’ satisfaction factors addressed in Business to Customer (B2C) online pharmacy reviews and analyzes the sentime...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Jingfang, Zhou, Yingyi, Jiang, Xiaoyan, Zhang, Wei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433132/ https://www.ncbi.nlm.nih.gov/pubmed/32807175 http://dx.doi.org/10.1186/s12911-020-01214-x

Ejemplares similares

Public awareness of online pharmacies, consumers’ motivating factors, experience and satisfaction with online pharmacy services, and current barriers and motivators for non-consumers: The case of Saudi Arabia
por: Almohammed, Omar A., et al.
Publicado: (2023)

Consumer's Satisfaction with Community Pharmacies in Sindh, Pakistan
por: Kim, Yun Jin, et al.
Publicado: (2021)

Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations
por: Hajek, Petr, et al.
Publicado: (2020)

Design of adaptive ensemble classifier for online sentiment analysis and opinion mining
por: Kumar, Sanjeev, et al.
Publicado: (2021)

Adverse Drug Reaction Related Post Detecting Using Sentiment Feature
por: LIU, Jingfang, et al.
Publicado: (2018)

Research on Sentiment Analysis and Satisfaction Evaluation of Online Teaching in Universities During Epidemic Prevention
por: Zhang, Jing
Publicado: (2021)

Study on Differences between Patients with Physiological and Psychological Diseases in Online Health Communities: Topic Analysis and Sentiment Analysis
por: Liu, Jingfang, et al.
Publicado: (2020)

Consumer and Community Pharmacists’ Perceptions of Online Pharmacy Services in Uyo Metropolis, Nigeria
por: Ndem, Ekpedeme, et al.
Publicado: (2019)

A Study of the Relationship Between Perceived Class Mobility, Philanthropic Sentiment and Consumer Online Giving Behavior Intention
por: Li, Yingji, et al.
Publicado: (2023)

Text mining datasets of β-hydroxybutyrate (BHB) supplement products’ consumer online reviews
por: Li, Ji, et al.
Publicado: (2020)

Consumer reviews analysis on cycling pants in online shopping malls using text mining
por: Kim, Chunjeong, et al.
Publicado: (2021)

Physicians’ Online Writing Language Style and Patient Satisfaction: The Mediator of Depth of Physician–Patient Interactions
por: Liu, Jingfang, et al.
Publicado: (2023)

Health Care Consumer Shopping Behaviors and Sentiment: Qualitative Study
por: Gordon, Deborah, et al.
Publicado: (2020)

Analysis Model of Consumer Sentiment Tendency of Commodities in E-Commerce
por: Yao, Hui
Publicado: (2022)

Mining of Opinions on COVID-19 Large-Scale Social Restrictions in Indonesia: Public Sentiment and Emotion Analysis on Online Media
por: Tri Sakti, Andi Muhammad, et al.
Publicado: (2021)

Online Consumer Satisfaction During COVID-19: Perspective of a Developing Country
por: Rao, Yonghui, et al.
Publicado: (2021)

News Text Mining-Based Business Sentiment Analysis and Its Significance in Economy
por: Yang, Ming, et al.
Publicado: (2022)

A theoretical model of factors influencing online consumer purchasing behavior through electronic word of mouth data mining and analysis
por: Wang, Qiwei, et al.
Publicado: (2023)

Big Data Recommendation Research Based on Travel Consumer Sentiment Analysis
por: Yuan, Zhu
Publicado: (2022)

Research on Brand Image Evaluation Method Based on Consumer Sentiment Analysis
por: Li, ZhengMin
Publicado: (2022)

Influence of online E-commerce interaction on consumer satisfaction based on big data algorithm
por: Li, Li, et al.
Publicado: (2023)

Temporal and spatial evolution of online public sentiment on emergencies
por: Li, Shiyue, et al.
Publicado: (2020)

Sentiment Analysis Surrounding Blepharoplasty in Online Health Forums
por: Lu, Tracy J., et al.
Publicado: (2022)

Quantifying changes in societal optimism from online sentiment
por: Isch, Calvin, et al.
Publicado: (2022)

Sentiment Analysis on Online Videos by Time-Sync Comments
por: Li, Jiangfeng, et al.
Publicado: (2023)

Sentimental text mining based on an additional features method for text classification
por: Cheng, Ching-Hsue, et al.
Publicado: (2019)

Beef Quality Preferences: Factors Driving Consumer Satisfaction
por: Felderhoff, Chad, et al.
Publicado: (2020)

The Impact of COVID-19 on Consumers’ Psychological Behavior Based on Data Mining for Online User Comments in the Catering Industry in China
por: Zhang, Chenyu, et al.
Publicado: (2021)

Chinese Consumers' E-Learning Satisfaction and Continuance Purchase Intention on Paid Online Python Course
por: Zhang, Jingjing, et al.
Publicado: (2022)

Comparison of patient satisfaction with pharmaceutical services of postal pharmacy and community pharmacy
por: Govender, Nishern, et al.
Publicado: (2019)

Why Do Users of Online Mental Health Communities Get Likes and Reposts: A Combination of Text Mining and Empirical Analysis
por: Liu, Jingfang, et al.
Publicado: (2021)

A Semantic Web Platform for Online Vaccine Sentiment Surveillance
por: Shaban-Nejad, Arash, et al.
Publicado: (2015)

Twitter sentiment analysis: An Arabic text mining approach based on COVID-19
por: Albahli, Saleh
Publicado: (2022)

Consumer Sentiments and Emotions in New Seafood Product Concept Development: A Co-Creation Approach Using Online Discussion Rooms in Croatia, Italy and Spain
por: Verza, Marta, et al.
Publicado: (2023)

A Study of Mobile Medical App User Satisfaction Incorporating Theme Analysis and Review Sentiment Tendencies
por: Zhai, Yunkai, et al.
Publicado: (2022)

Factors Influencing Online Learning Satisfaction
por: Yu, Qiangfu
Publicado: (2022)

Macroeconomic expectations and consumer sentiment during the COVID-19 pandemic: The role of others’ beliefs
por: Bui, Dzung, et al.
Publicado: (2023)

Consumers Turning to the Internet Pharmacy Market: Cross-Sectional Study on the Frequency and Attitudes of Hungarian Patients Purchasing Medications Online
por: Fittler, András, et al.
Publicado: (2018)

LSTM-DGWO-Based Sentiment Analysis Framework for Analyzing Online Customer Reviews
por: Barik, Kousik, et al.
Publicado: (2023)

A sentiment analysis approach for travel-related Chinese online review content
por: Li, Hanyun, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_eolq76ljcdgvr87es556irvqlp