Generating E-commerce Product Reviews Based on GPT-2

DOI

10.2991/978-2-38476-178-4_14How to use a DOI?

Keywords

Natural language processing; Deep learning; Product Reviews; GPT-2

Abstract

With the rapid development of the Internet, more and more people choose to shop online, and online product reviews have become an important reference for consumers when choosing products. However, due to the high time cost of manually writing product reviews, the technology of automatically generating product reviews has emerged. Using the GPT-2 model and deep learning techniques, high-quality online product reviews can be generated to simplify the review process and save time. This paper discusses the advantages and disadvantages of the model, its application scenarios, and future research directions. Overall, the study of generating online product reviews based on the GPT-2 model provides a new approach and method for automatically generating product reviews, which has high theoretical and practical value.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Hangyu Chen
PY  - 2023
DA  - 2023/12/30
TI  - Generating E-commerce Product Reviews Based on GPT-2
BT  - Proceedings of the 2023 3rd International Conference on Social Development and Media Communication (SDMC 2023)
PB  - Atlantis Press
SP  - 110
EP  - 116
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-178-4_14
DO  - 10.2991/978-2-38476-178-4_14
ID  - Chen2023
ER  -