Identification of Customers Satisfaction with Popular Online Shopping Apps in Saudi Arabia Using Sentiment Analysis and Topic modelling-Reference-Cited by-同舟云学术

Identification of Customers Satisfaction with Popular Online Shopping Apps in Saudi Arabia Using Sentiment Analysis and Topic modelling

Published:2023-04-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on E-Commerce, E-Business and E-Government
language:
Short-container-title:

Author:

Hakami Nada Ali¹^ORCID

Affiliation:

1. Computer Science, Jazan University, Saudi Arabia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3599609.3599610

Reference26 articles.

1. Baluch , A. ,2022. The Pros and Cons of Online Shopping. Avaialble at: https://www.thebalancemoney.com/the-pros-and-cons-of-online-shopping-939775#citation-2 (Accessed at 20 September 2022 ). Baluch, A. ,2022. The Pros and Cons of Online Shopping. Avaialble at: https://www.thebalancemoney.com/the-pros-and-cons-of-online-shopping-939775#citation-2 (Accessed at 20 September 2022).

2. Ranjhaa , S. Advantages and Disadvantages of Online Shopping. Avaialble at: https://www.marketingtutor.net/advantages-and-disadvantages-of-online-shopping/ (Accessed 20 September 2022 ). Ranjhaa, S. Advantages and Disadvantages of Online Shopping. Avaialble at: https://www.marketingtutor.net/advantages-and-disadvantages-of-online-shopping/ (Accessed 20 September 2022).

3. Deep learning for sentiment analysis: A survey

4. Similarweb , 2022.Top Apps Ranking. Available at: https://www.similarweb.com/apps/top/google/store-rank/sa/shopping/top-free/ (Accessed 21 October 2022 ). Similarweb, 2022.Top Apps Ranking. Available at: https://www.similarweb.com/apps/top/google/store-rank/sa/shopping/top-free/ (Accessed 21 October 2022).

5. Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews

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