[HTML][HTML] Mining opinion components from unstructured reviews: A review
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 …
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
For new product development, previous segmentation methods based on demographic,
psychographic, and purchase behavior information cannot identify a group of customers with …
psychographic, and purchase behavior information cannot identify a group of customers with …
AR-miner: mining informative reviews for developers from mobile app marketplace
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
it can decrease the accuracy of sentiment classification and make it difficult to obtain the …