Unsupervised Text Feature Extraction for Academic Chatbot using Constrained FP-Growth
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
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Akademi Sains Malaysia
2021
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| Subjects: | |
| 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 |
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Unsupervised Text Feature Extraction for Academic Chatbot using Constrained FP-Growth
Published 2021-04-01
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