Original paper
Examining the Presence of Gender Bias in Customer Reviews Using Word Embedding
Abstract
Humans have entered the age of algorithms. Each minute, algorithms shape countless preferences from suggesting a product to a potential life partner. In the marketplace, algorithms are trained to learn consumer preferences from customer reviews because user-generated reviews are considered the voice of customers and a valuable source of information to firms. Insights, minded from reviews, play an indispensable role in several business activities...
Paper Details
Title
Examining the Presence of Gender Bias in Customer Reviews Using Word Embedding
Published Date
Jan 1, 2019
Journal
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Notes
History