Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics
Natural language processing (NLP) is a critical part of the digital transformation. NLP enables user-friendly interactions between machine and human by making computers understand human languages. Intelligent chatbot is an essential application of NLP to allow understanding of users’ utterance and r...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/5511866 |
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| _version_ | 1849402467068936192 |
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| author | Min-Hua Chao Amy J. C. Trappey Chun-Ting Wu |
| author_facet | Min-Hua Chao Amy J. C. Trappey Chun-Ting Wu |
| author_sort | Min-Hua Chao |
| collection | DOAJ |
| description | Natural language processing (NLP) is a critical part of the digital transformation. NLP enables user-friendly interactions between machine and human by making computers understand human languages. Intelligent chatbot is an essential application of NLP to allow understanding of users’ utterance and responding in understandable sentences for specific applications simulating human-to-human conversations and interactions for problem solving or Q&As. This research studies emerging technologies for NLP-enabled intelligent chatbot development using a systematic patent analytic approach. Some intelligent text-mining techniques are applied, including document term frequency analysis for key terminology extractions, clustering method for identifying the subdomains, and Latent Dirichlet Allocation for finding the key topics of patent set. This research utilizes the Derwent Innovation database as the main source for global intelligent chatbot patent retrievals. |
| format | Article |
| id | doaj-art-82bb6ebbe61a479f8bb97a6c83a7851a |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-82bb6ebbe61a479f8bb97a6c83a7851a2025-08-20T03:37:31ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/55118665511866Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent AnalyticsMin-Hua Chao0Amy J. C. Trappey1Chun-Ting Wu2Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, TaiwanDepartment of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, TaiwanDepartment of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, TaiwanNatural language processing (NLP) is a critical part of the digital transformation. NLP enables user-friendly interactions between machine and human by making computers understand human languages. Intelligent chatbot is an essential application of NLP to allow understanding of users’ utterance and responding in understandable sentences for specific applications simulating human-to-human conversations and interactions for problem solving or Q&As. This research studies emerging technologies for NLP-enabled intelligent chatbot development using a systematic patent analytic approach. Some intelligent text-mining techniques are applied, including document term frequency analysis for key terminology extractions, clustering method for identifying the subdomains, and Latent Dirichlet Allocation for finding the key topics of patent set. This research utilizes the Derwent Innovation database as the main source for global intelligent chatbot patent retrievals.http://dx.doi.org/10.1155/2021/5511866 |
| spellingShingle | Min-Hua Chao Amy J. C. Trappey Chun-Ting Wu Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics Complexity |
| title | Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics |
| title_full | Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics |
| title_fullStr | Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics |
| title_full_unstemmed | Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics |
| title_short | Emerging Technologies of Natural Language-Enabled Chatbots: A Review and Trend Forecast Using Intelligent Ontology Extraction and Patent Analytics |
| title_sort | emerging technologies of natural language enabled chatbots a review and trend forecast using intelligent ontology extraction and patent analytics |
| url | http://dx.doi.org/10.1155/2021/5511866 |
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