SEMANTIC AND NATURAL LANGUAGE PROCESSING DEVELOPMENT APPLICATIONS FOR CHATBOTS TO ENHANCE ONLINE STORE CUSTOMER SERVICE Article Swipe
YOU?
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· 2023
· Open Access
·
· DOI: https://doi.org/10.55047/ijateis.v2i4.986
Since customer support is time-limited, chatbot programs can assist potential online store visitors before they make a purchase. The general public cannot always answer inquiries or respond to customer requests. Virtual customer support allows potential customers to contact vendors regarding products they wish to purchase. This technology is very helpful in providing quick and accurate answers to various customer concerns and issues. The study focuses on the online retail environment where customer support is crucial for potential buyers before making a purchase. The Artificial Intelligence Markup Language (AIML) and Semantic Ontology were used by A.L.I.C.E. (Artificial Internet Linguistic Computer Agency) to develop an AI chatbot application. There are no online stores that use virtual customer service (chatbots) for customer support, so Batik Cloth, an application that offers batik textiles for sale in Malang, was chosen as the online store chatbot application for this study. Creating a chatbot with semantic capabilities involves using ontologies to process queries with more precise meaning. It achieves 92% accuracy for 15 types of relevant queries and responses, followed by 10 frequently asked questions as answers. Created by a potential buyer. Virtual customer support systems (chatbots) can respond to queries with similar terms or meanings by employing ontologies and semantics to deliver answers that fit the queries.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.55047/ijateis.v2i4.986
- https://ojs.transpublika.com/index.php/IJATEIS/article/download/986/812
- OA Status
- diamond
- Cited By
- 1
- References
- 5
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390864325
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390864325Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.55047/ijateis.v2i4.986Digital Object Identifier
- Title
-
SEMANTIC AND NATURAL LANGUAGE PROCESSING DEVELOPMENT APPLICATIONS FOR CHATBOTS TO ENHANCE ONLINE STORE CUSTOMER SERVICEWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-25Full publication date if available
- Authors
-
Yosi Afandi, Maskur Maskur, Nilawati Fiernaningsih, Ahmad FauziList of authors in order
- Landing page
-
https://doi.org/10.55047/ijateis.v2i4.986Publisher landing page
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https://ojs.transpublika.com/index.php/IJATEIS/article/download/986/812Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://ojs.transpublika.com/index.php/IJATEIS/article/download/986/812Direct OA link when available
- Concepts
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Chatbot, Computer science, World Wide Web, Service (business), Ontology, Customer service, Semantics (computer science), The Internet, Meaning (existential), Business, Marketing, Epistemology, Psychotherapist, Programming language, Psychology, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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5Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.making | 79 |
| abstract_inverted_index.offers | 126 |
| abstract_inverted_index.online | 10, 67, 109, 137 |
| abstract_inverted_index.public | 20 |
| abstract_inverted_index.retail | 68 |
| abstract_inverted_index.stores | 110 |
| abstract_inverted_index.study. | 143 |
| abstract_inverted_index.Agency) | 99 |
| abstract_inverted_index.Created | 180 |
| abstract_inverted_index.Malang, | 132 |
| abstract_inverted_index.Virtual | 30, 185 |
| abstract_inverted_index.answers | 55, 206 |
| abstract_inverted_index.chatbot | 5, 104, 139, 146 |
| abstract_inverted_index.contact | 37 |
| abstract_inverted_index.crucial | 74 |
| abstract_inverted_index.deliver | 205 |
| abstract_inverted_index.develop | 101 |
| abstract_inverted_index.focuses | 64 |
| abstract_inverted_index.general | 19 |
| abstract_inverted_index.helpful | 49 |
| abstract_inverted_index.issues. | 61 |
| abstract_inverted_index.precise | 158 |
| abstract_inverted_index.process | 154 |
| abstract_inverted_index.queries | 155, 169, 193 |
| abstract_inverted_index.respond | 26, 191 |
| abstract_inverted_index.service | 115 |
| abstract_inverted_index.similar | 195 |
| abstract_inverted_index.support | 2, 32, 72, 187 |
| abstract_inverted_index.systems | 188 |
| abstract_inverted_index.various | 57 |
| abstract_inverted_index.vendors | 38 |
| abstract_inverted_index.virtual | 113 |
| abstract_inverted_index.Computer | 98 |
| abstract_inverted_index.Creating | 144 |
| abstract_inverted_index.Internet | 96 |
| abstract_inverted_index.Language | 86 |
| abstract_inverted_index.Ontology | 90 |
| abstract_inverted_index.Semantic | 89 |
| abstract_inverted_index.accuracy | 163 |
| abstract_inverted_index.accurate | 54 |
| abstract_inverted_index.achieves | 161 |
| abstract_inverted_index.answers. | 179 |
| abstract_inverted_index.concerns | 59 |
| abstract_inverted_index.customer | 1, 28, 31, 58, 71, 114, 118, 186 |
| abstract_inverted_index.followed | 172 |
| abstract_inverted_index.involves | 150 |
| abstract_inverted_index.meaning. | 159 |
| abstract_inverted_index.meanings | 198 |
| abstract_inverted_index.products | 40 |
| abstract_inverted_index.programs | 6 |
| abstract_inverted_index.queries. | 210 |
| abstract_inverted_index.relevant | 168 |
| abstract_inverted_index.semantic | 148 |
| abstract_inverted_index.support, | 119 |
| abstract_inverted_index.textiles | 128 |
| abstract_inverted_index.visitors | 12 |
| abstract_inverted_index.customers | 35 |
| abstract_inverted_index.employing | 200 |
| abstract_inverted_index.inquiries | 24 |
| abstract_inverted_index.potential | 9, 34, 76, 183 |
| abstract_inverted_index.providing | 51 |
| abstract_inverted_index.purchase. | 17, 44, 81 |
| abstract_inverted_index.questions | 177 |
| abstract_inverted_index.regarding | 39 |
| abstract_inverted_index.requests. | 29 |
| abstract_inverted_index.semantics | 203 |
| abstract_inverted_index.(chatbots) | 116, 189 |
| abstract_inverted_index.A.L.I.C.E. | 94 |
| abstract_inverted_index.Artificial | 83 |
| abstract_inverted_index.Linguistic | 97 |
| abstract_inverted_index.frequently | 175 |
| abstract_inverted_index.ontologies | 152, 201 |
| abstract_inverted_index.responses, | 171 |
| abstract_inverted_index.technology | 46 |
| abstract_inverted_index.(Artificial | 95 |
| abstract_inverted_index.application | 124, 140 |
| abstract_inverted_index.environment | 69 |
| abstract_inverted_index.Intelligence | 84 |
| abstract_inverted_index.application. | 105 |
| abstract_inverted_index.capabilities | 149 |
| abstract_inverted_index.time-limited, | 4 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.62026747 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |