Effects of user-provided photos on hotel review helpfulness: An analytical approach with deep leaning

By Yufeng Ma, Zheng Xiang, Qianzhou Du, Weiguo Fan. 2018

265 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science, Sentiment & Opinion Analysis

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Douwe Kiela
2. Vedanuj Goswami
3. Amanpreet Singh
4. Pratik Ringshia
5. Mohit Bansal
6. Davide Testuggine
7. Kevin Kam Fung So
8. Jochen Wirtz

In Sociology and Political Science

1. M. Mody
2. Kevin Kam Fung So
3. Douwe Kiela
4. Jochen Wirtz
5. Stephanie Q. Liu

Citations in the corpus

• The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes (2020, methodology): “Other datasets using internet data include Food101 [80], where the goal is to predict the dish of recipes and images; various versions of Yelp reviews [52]; Walmart and Ferramenta product classification [90, 21]; social media name tagging (Twitter and Snapchat) [49]; social media target-oriented sen”
• Platforms in the peer-to-peer sharing economy (2019, background): “In a similar vein, Ma et al. (2018) suggest that a form of machine learning technique called “deep learning” can be used to understand information value of online consumer posts.”