[HTML][HTML] Mining opinion components from unstructured reviews: A review

K Khan, B Baharudin, A Khan, A Ullah - Journal of King Saud University …, 2014 - Elsevier
Opinion mining is an interesting area of research because of its applications in various
fields. Collecting opinions of people about products and about social and political events …

Interpretable machine learning-based approach for customer segmentation for new product development from online product reviews

J Joung, H Kim - International Journal of Information Management, 2023 - Elsevier
For new product development, previous segmentation methods based on demographic,
psychographic, and purchase behavior information cannot identify a group of customers with …

AR-miner: mining informative reviews for developers from mobile app marketplace

N Chen, J Lin, SCH Hoi, X Xiao, B Zhang - Proceedings of the 36th …, 2014 - dl.acm.org
With the popularity of smartphones and mobile devices, mobile application (aka “app”)
markets have been growing exponentially in terms of number of users and downloads. App …

Mining customer requirements from online reviews: A product improvement perspective

J Qi, Z Zhang, S Jeon, Y Zhou - Information & Management, 2016 - Elsevier
Big data commerce has become an e-commerce trend. Learning how to extract valuable
and real time insights from big data to drive smarter and more profitable business decisions …

based measurement of customer satisfaction in mobile service: Sentiment analysis and VIKOR approach

D Kang, Y Park - Expert Systems with Applications, 2014 - Elsevier
With the rapid growth and dissemination of mobile services, enhancement of customer
satisfaction has emerged as a core issue. Customer reviews are recognized as fruitful …

Estimating aggregate consumer preferences from online product reviews

R Decker, M Trusov - International Journal of Research in Marketing, 2010 - Elsevier
Today, consumer reviews are available on the Internet for a large number of product
categories. The pros and cons expressed in this way uncover individually perceived …

Eliciting attribute-level user needs from online reviews with deep language models and information extraction

Y Han, M Moghaddam - Journal of Mechanical …, 2021 - asmedigitalcollection.asme.org
Eliciting user needs for individual components and features of a product or a service on a
large scale is a key requirement for innovative design. Synthesizing data as an initial …

Explainable neural network-based approach to Kano categorisation of product features from online reviews

J Joung, HM Kim - International Journal of Production Research, 2022 - Taylor & Francis
The Kano model is an extensively used technique for understanding different types of
customer preferences. It classifies product features based on the effects of their performance …

Investigating consumer preferences on product designs by analyzing opinions from social networks using evidential reasoning

CY Ng, KMY Law - Computers & Industrial Engineering, 2020 - Elsevier
The rapid growth of e-commerce and social networking sites has created various challenges
for the extraction of user-generated content (UGC). In the era of big data, customer opinions …

Ant colony optimization for text feature selection in sentiment analysis

SR Ahmad, AA Bakar, MR Yaakub - Intelligent Data Analysis, 2019 - content.iospress.com
In sentiment analysis, the high dimensionality of the feature vector is a key problem because
it can decrease the accuracy of sentiment classification and make it difficult to obtain the …