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The recent outbreak of the novel coronavirus (COVID-19) has infected millions of citizens worldwide and claimed many lives. This paper examines its impact on the Chinese e-commerce market by analyzing behavioral changes seen from a large…

Physics and Society · Physics 2020-10-28 Yuan Yuan , Muzhi Guan , Zhilun Zhou , Sundong Kim , Meeyoung Cha , Depeng Jin , Yong Li

When people buy products online, they primarily base their decisions on the recommendations of others given in online reviews. The current work analyzed these online reviews by sentiment analysis and used the extracted sentiments as…

Artificial Intelligence · Computer Science 2020-03-03 Chaehan So

Sequential recommenders have been widely used in industry due to their strength in modeling user preferences. While these models excel at learning a user's positive interests, less attention has been paid to learning from negative user…

This work studies how we can obtain feature-level ratings of the mobile products from the customer reviews and review votes to influence decision making, both for new customers and manufacturers. Such a rating system gives a more…

Computation and Language · Computer Science 2020-07-21 Koteswar Rao Jerripothula , Ankit Rai , Kanu Garg , Yashvardhan Singh Rautela

We study the economic interactions among sellers and buyers in online markets. In such markets, buyers have limited information about the product quality, but can observe the sellers' reputations which depend on their past transaction…

Computer Science and Game Theory · Computer Science 2021-03-31 Qian Ma , Jianwei Huang , Tamer Başar , Ji Liu , Xudong Chen

This study examines the relationship between Yelp reviews and food types, investigating how ratings, sentiments, and topics vary across different types of food. Specifically, we analyze how ratings and sentiments of reviews vary across food…

Computation and Language · Computer Science 2023-07-21 Wenyu Liao , Yiqing Shi , Yujia Hu , Wei Quan

Word-of-Mouth (WoM) communication, via online reviews, plays an important role in customers' purchasing decisions. As such, retailers must consider the impact of WoM to manage customer perceptions and future demand. In this paper, we…

Optimization and Control · Mathematics 2022-03-23 Bahar Çavdar , Nesim Erkip

Online consumer reviews play a crucial role in guiding purchase decisions by offering insights into product quality, usability, and performance. However, the increasing volume of user-generated reviews has led to information overload,…

Information Retrieval · Computer Science 2026-01-12 Muhammad Mufti , Omar Hammad , Mahfuzur Rahman

The paper presents a cross-domain review analysis on four popular review datasets: Amazon, Yelp, Steam, IMDb. The analysis is performed using Hadoop and Spark, which allows for efficient and scalable processing of large datasets. By…

Information Retrieval · Computer Science 2022-12-29 Aditya Pandey , Kunal Joshi

Automatic sentiment analysis play vital role in decision making. Many organizations spend a lot of budget to understand their customer satisfaction by manually going over their feedback/comments or tweets. Automatic sentiment analysis can…

Computation and Language · Computer Science 2021-07-07 Mohammad Aimal , Maheen Bakhtyar , Junaid Baber , Sadia Lakho , Umar Mohammad , Warda Ahmed , Jahanvash Karim

"What other people think" has always been an important piece of information during various decision-making processes. Today people frequently make their opinions available via the Internet, and as a result, the Web has become an excellent…

Computation and Language · Computer Science 2010-11-23 Samaneh Moghaddam , Fred Popowich

This research set out to identify and structure from online reviews the words and expressions related to customers' likes and dislikes to guide product development. Previous methods were mainly focused on product features. However,…

Computation and Language · Computer Science 2020-01-14 Tianjun Hou , Bernard Yannou , Yann Leroy , Emilie Poirson

The continuous growth of electronic commerce has stimulated great interest in studying online consumer behavior. Given the significant growth in online shopping, better understanding of customers allows better marketing strategies to be…

Computers and Society · Computer Science 2012-12-27 Soroosh Nalchigar , Ingmar Weber

Review helpfulness serves as focal point in understanding customers' purchase decision-making process on online retailer platforms. An overwhelming majority of previous works find longer reviews to be more helpful than short reviews. In…

Computation and Language · Computer Science 2019-09-27 Bernhard Lutz , Nicolas Pröllochs , Dirk Neumann

Todays world is a world of Internet, almost all work can be done with the help of it, from simple mobile phone recharge to biggest business deals can be done with the help of this technology. People spent their most of the times on surfing…

Computation and Language · Computer Science 2014-06-17 Richa Sharma , Shweta Nigam , Rekha Jain

When launching new products, firms face uncertainty about market reception. Online reviews provide valuable information not only to consumers but also to firms, allowing firms to adjust the product characteristics, including its selling…

Machine Learning · Computer Science 2024-04-24 José Correa , Mathieu Mari , Andrew Xia

In social commerce, users dialogue with each other on the topics related to the providers' products. However, the language customers use may vary from the language vendors use on their e-commerce websites and product descriptions. This…

Social and Information Networks · Computer Science 2022-03-31 Carlos A. Rodriguez-Diaz , Sergio Jimenez , Daniel Bejarano , Julio A. Bernal-Chávez , Alexander Gelbukh

Online product reviews are a valuable resource for product developers to improve the design of their products. Yet, the potential value of customer feedback to improve the sustainability performance of products is still to be exploited. The…

Computers and Society · Computer Science 2022-02-16 Michael Saidani , Harrison Kim , Nawres Ayadhi , Bernard Yannou

Online reviews of businesses have become increasingly important in recent years, as customers and even competitors use them to judge the quality of a business. Yelp is one of the most popular websites for users to write such reviews, and it…

Information Retrieval · Computer Science 2015-12-22 Andrew Elkouri

E-commerce platforms generate vast volumes of user feedback, such as star ratings, written reviews, and comments. However, most recommendation engines rely primarily on numerical scores, often overlooking the nuanced opinions embedded in…

Information Retrieval · Computer Science 2025-05-08 Yogesh Gajula
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