Rating prediction based on social sentiment from textual reviews

X Lei, X Qian, G Zhao - IEEE transactions on multimedia, 2016 - ieeexplore.ieee.org
In recent years, we have witnessed a flourish of review websites. It presents a great
opportunity to share our viewpoints for various products we purchase. However, we face an …

Yelp dataset challenge: Review rating prediction

N Asghar - arxiv preprint arxiv:1605.05362, 2016 - arxiv.org
Review websites, such as TripAdvisor and Yelp, allow users to post online reviews for
various businesses, products and services, and have been recently shown to have a …

ASAP: A Chinese review dataset towards aspect category sentiment analysis and rating prediction

J Bu, L Ren, S Zheng, Y Yang, J Wang, F Zhang… - arxiv preprint arxiv …, 2021 - arxiv.org
Sentiment analysis has attracted increasing attention in e-commerce. The sentiment
polarities underlying user reviews are of great value for business intelligence. Aspect …

Crowd intelligence: Analyzing online product reviews for preference measurement

S **ao, CP Wei, M Dong - Information & Management, 2016 - Elsevier
The proliferation of product review websites produces a large, publicly accessible
information resource for firms that seek to understand consumers' preferences. To facilitate …

Learning user and product distributed representations using a sequence model for sentiment analysis

T Chen, R Xu, Y He, Y **a… - IEEE Computational …, 2016 - ieeexplore.ieee.org
In product reviews, it is observed that the distribution of polarity ratings over reviews written
by different users or evaluated based on different products are often skewed in the real …

Exploring users' internal influence from reviews for social recommendation

G Zhao, X Lei, X Qian, T Mei - IEEE transactions on multimedia, 2018 - ieeexplore.ieee.org
In recent years, we have witnessed a flourish of social review websites. Internet users can
easily share their experiences on some products and services with their friends. Therefore …

Leveraging sentiment analysis at the aspects level to predict ratings of reviews

J Qiu, C Liu, Y Li, Z Lin - Information Sciences, 2018 - Elsevier
Online reviews are an important asset for users who are deciding to buy a product, see a
movie, or go to a restaurant and for managers who are making business decisions. The …

Adaptive co-training SVM for sentiment classification on tweets

S Liu, F Li, F Li, X Cheng, H Shen - Proceedings of the 22nd ACM …, 2013 - dl.acm.org
Sentiment classification is an important problem in tweets mining. There lack labeled data
and rating mechanism for generating them in Twitter service. And topics in Twitter are more …

Review rating prediction framework using deep learning

BH Ahmed, AS Ghabayen - Journal of Ambient Intelligence and …, 2022 - Springer
Nowadays Review websites, such as Amazon and Yelp, allow users to post online reviews
for several products, services and businesses. Recently online reviews play a great role in …

Do psychological attributes of online review play role in predicting rating? An empirical investigation

D Dey, P Kumar - Computers in Human Behavior, 2023 - Elsevier
Rating provided by online customers is a process to summarize quality of the product
consumed. Extant research on review rating prediction primarily considered the task as …