Unsupervised Text Feature Extraction for Academic Chatbot using Constrained FP-Growth

• Main Authors: Suraya Alias, Mohd Shamrie Sainin, Tan, Soo Fun, Norhayati Daut, Teoh, Lee Sheng
• Format: Article
• Language: English; English
• Published: Akademi Sains Malaysia 2021
• Subjects: QA76.75-76.765 Computer software
• Online Access: https://eprints.ums.edu.my/id/eprint/32585/1/Unsupervised%20Text%20Feature%20Extraction%20for%20Academic%20Chatbot%20using%20Constrained%20FP-Growth%20_ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/32585/2/Unsupervised%20Text%20Feature%20Extraction%20for%20Academic%20Chatbot%20using%20Constrained%20FP-Growth.pdf; https://eprints.ums.edu.my/id/eprint/32585/; https://www.akademisains.gov.my/asmsj/article/unsupervised-text-feature-extraction-for-academic-chatbot-using-constrained-fp-growth/; https://doi.org/10.32802/asmscj.2020.576

In the edge where conversation merely involves online chatting and texting one another, an automated conversational agent is needed to support certain repetitive tasks such as providing FAQs, customer service and product recommendations. One of the key challenges is to identify and discover user’s i...