An Investigation on the User Behavior in Social Commerce Platforms: A Text Analytics Approach
Nowadays, the tourism industry accounts for approximately 10% of the global GDP, while it only contributes 3% of the economy in Iran. Since the pressure of US sanctions increases day after day on the Iranian economy, the necessity of paying attention to this industry as a source of foreign currency...
Saved in:
| Main Authors: | Amir Arzy, Mohammad Taghi Taghavifard, Zohreh Dehdashti Shahrokh, Iman Raeesi Vanani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Tehran
2020-12-01
|
| Series: | Journal of Information Technology Management |
| Subjects: | |
| Online Access: | https://jitm.ut.ac.ir/article_78406_f48abe49f561cb26998d4df72eb24426.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Text Analytics of Customers on Twitter: Brand Sentiments in Customer Support
by: Iman Raeesi Vanani
Published: (2019-06-01) -
Balancing act: Tackling organized retail fraud on e-commerce platforms with imbalanced learning text models
by: Abed Mutemi, et al.
Published: (2024-11-01) -
Understanding farmed salmon imports and e-commerce consumer satisfaction in China: A text mining approach
by: Mausam Budhathoki, et al.
Published: (2024-12-01) -
Hotel customer segmentation and sentiment analysis through online reviews: An analysis of selected European markets
by: Anderson S. Oliveira, et al.
Published: (2022-01-01) -
Presenting a Text Mining Algorithm to Identify Emotion in Persian Corpus
by: Masoud Garshasbi, et al.
Published: (2018-06-01)