An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in …

V Shankar, S Parsana - Journal of the Academy of Marketing Science, 2022 - Springer
With artificial intelligence permeating conversations and marketing interactions through
digital technologies and media, machine learning models, in particular, natural language …

Uniting the tribes: Using text for marketing insight

J Berger, A Humphreys, S Ludwig… - Journal of …, 2020 - journals.sagepub.com
Words are part of almost every marketplace interaction. Online reviews, customer service
calls, press releases, marketing communications, and other interactions create a wealth of …

Automated text analysis for consumer research

A Humphreys, RJH Wang - Journal of Consumer Research, 2018 - academic.oup.com
The amount of digital text available for analysis by consumer researchers has risen
dramatically. Consumer discussions on the internet, product reviews, and digital archives of …

Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales

N Hu, NS Koh, SK Reddy - Decision support systems, 2014 - Elsevier
It is generally assumed that ratings are a numeric representation of text sentiments and their
valences are consistent. This however may not always be true. Using a panel of data on …

Identity as narrative: Prevalence, effectiveness, and consequences of narrative identity work in macro work role transitions

H Ibarra, R Barbulescu - Academy of management review, 2010 - journals.aom.org
Self-narratives—stories that make a point about the narrator—help people revise and
reconstruct identities during work role transitions. We propose a process model in which …

Mine your own business: Market-structure surveillance through text mining

O Netzer, R Feldman, J Goldenberg… - Marketing …, 2012 - pubsonline.informs.org
Web 2.0 provides gathering places for Internet users in blogs, forums, and chat rooms.
These gathering places leave footprints in the form of colossal amounts of data regarding …

Designing ranking systems for hotels on travel search engines by mining user-generated and crowdsourced content

A Ghose, PG Ipeirotis, B Li - Marketing Science, 2012 - pubsonline.informs.org
User-generated content on social media platforms and product search engines is changing
the way consumers shop for goods online. However, current product search engines fail to …

Deriving the pricing power of product features by mining consumer reviews

N Archak, A Ghose, PG Ipeirotis - Management science, 2011 - pubsonline.informs.org
Increasingly, user-generated product reviews serve as a valuable source of information for
customers making product choices online. The existing literature typically incorporates the …

A structured analysis of unstructured big data by leveraging cloud computing

X Liu, PV Singh, K Srinivasan - Marketing science, 2016 - pubsonline.informs.org
Accurate forecasting of sales/consumption is particularly important for marketing because
this information can be used to adjust marketing budget allocations and overall marketing …

Extracting features of entertainment products: A guided latent dirichlet allocation approach informed by the psychology of media consumption

O Toubia, G Iyengar, R Bunnell… - Journal of Marketing …, 2019 - journals.sagepub.com
The authors propose a quantitative approach for describing entertainment products, in a way
that allows for improving the predictive performance of consumer choice models for these …