Nangoy, Jennifer Gabrielle and Shabrina, Nabila Husna (2021) Analysis of Chatbot-Based Image Classification on Social Commerce LINE@ Platform. In: 7th NAFOSTED Conference on Information and Computer Science, 26-27 Nov. 2020, Ho Chi Minh City, Vietnam.
Full text not available from this repository.Abstract
The rapid development of internet has influenced people's lifestyle to become more digital. Social commerce is one of the e-commerce categories where sellers offer their products through social media. LINE Messenger provides a place where sellers and buyers can communicate to carry out transaction processes. This paper discusses about the research on a chatbot that is useful for handling picture messages by providing product information replies. The chatbot was built using the Convolutional Neural Network method for the image classification process. The tests conducted found the chatbot to be able to reply to buyer messages with an accuracy level of 0.68.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords: | social commerce , LINE Messenger , chatbot , Convolutional Neural Network , image classification |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming 300 Social Sciences > 380 Commerce, communications and transportation > 381 Commerce (Trade, Incl. Branding, Marketing and Warehousing) |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 02 Dec 2021 17:23 |
| Last Modified: | 01 Nov 2022 08:04 |
| URI: | https://kc.umn.ac.id/id/eprint/19338 |
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