Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Cultural Creative Product Design Methods under the Path of User Empathy
by
Kong, Yifan
in
97P10
/ Cultural and creative products
/ LDA topic model
/ SVM algorithm
/ TF-IDF algorithm
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Cultural Creative Product Design Methods under the Path of User Empathy
by
Kong, Yifan
in
97P10
/ Cultural and creative products
/ LDA topic model
/ SVM algorithm
/ TF-IDF algorithm
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Cultural Creative Product Design Methods under the Path of User Empathy
Journal Article
Cultural Creative Product Design Methods under the Path of User Empathy
2024
Request Book From Autostore
and Choose the Collection Method
Overview
As consumption upgrades, China’s cultural and creative industry is experiencing rapid growth. However, user empathy remains lacking in some products. This paper explores a design method for these products based on empathy theory. It employs the TF-IDF algorithm to extract semantic features from product texts and uses the SVM algorithm for classification. Post-classification, the LDA theme model analyzes sentiment, integrating both visual and semantic models to enhance product design. An analysis of cultural and creative products using data analysis software reveals that approximately 79.5% of user comments exhibit positive sentiment, with an average sentiment score of 2.9218 and a peak score of 39.1363. This suggests strong positive emotional responses from nearly 80% of users. The proposed method effectively enhances user-product interaction and empathy.
Publisher
Sciendo,De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Subject
This website uses cookies to ensure you get the best experience on our website.