| _version_ |
1860799587377217536
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| building |
INTELEK Repository
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| collection |
Online Access
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| collectionurl |
https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2017-07-28 09:50:28
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| eventvenue |
Batu Ferringhi, Pulau Pinang
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| format |
Restricted Document
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| id |
6582
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| institution |
UniSZA
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| originalfilename |
1547-01-FH03-FIK-17-09896.pdf
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Userâ„¢
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| recordtype |
oai_dc
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| resourceurl |
https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6582
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| spelling |
6582 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=6582 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper application/pdf 8 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in Userâ„¢ 2017-07-28 09:50:28 1547-01-FH03-FIK-17-09896.pdf UniSZA Private Access Framework for Online Business Transactions Via Instant Messaging Using Natural Language Processing and Business Ontology Instant messaging (IM) has become a popular way to communicate with clients and customers in the business world. IM is a natural way for businesses to provide real-time services to customers. It adds a flexible and comforting human element to an otherwise automated process. Nevertheless, online business activities using IM involve a lot of repetitive and redundant tasks. Current IMs only allow information sharing without any business transactions functionalities. Manually managing business on IM is highly time consuming. At present, there are no framework available for automated online business transactions utilizing IM. The objective of this study is to propose a framework for online business transactions such as product information, inventory, and order process via automated IM called Virtual Assistant (VA). The system uses Natural Language Processing and collected database. A prototype will be developed based on the proposed framework. It is anticipated that the proposed approach will serve as an automated customer service consultant that will enable fast and efficient online business transactions. The 5th International Conference on Artificial Intelligence, Computer Science, & Information Technology Batu Ferringhi, Pulau Pinang
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| spellingShingle |
Framework for Online Business Transactions Via Instant Messaging Using Natural Language Processing and Business Ontology
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| summary |
Instant messaging (IM) has become a popular way to communicate with clients and customers in the business world. IM is a natural way for businesses to provide real-time services to customers. It adds a flexible and comforting human element to an otherwise automated process. Nevertheless, online business activities using IM involve a lot of repetitive and redundant tasks. Current IMs only allow information sharing without any business transactions functionalities. Manually managing business on IM is highly time consuming. At present, there are no framework available for automated online business transactions utilizing IM. The objective of this study is to propose a framework for online business transactions such as product information, inventory, and order process via automated IM called Virtual Assistant (VA). The system uses Natural Language Processing and collected database. A prototype will be developed based on the proposed framework. It is anticipated that the proposed approach will serve as an automated customer service consultant that will enable fast and efficient online business transactions.
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| title |
Framework for Online Business Transactions Via Instant Messaging Using Natural Language Processing and Business Ontology
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| title_full |
Framework for Online Business Transactions Via Instant Messaging Using Natural Language Processing and Business Ontology
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| title_fullStr |
Framework for Online Business Transactions Via Instant Messaging Using Natural Language Processing and Business Ontology
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| title_full_unstemmed |
Framework for Online Business Transactions Via Instant Messaging Using Natural Language Processing and Business Ontology
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| title_short |
Framework for Online Business Transactions Via Instant Messaging Using Natural Language Processing and Business Ontology
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| title_sort |
framework for online business transactions via instant messaging using natural language processing and business ontology
|