Nachaat Mohamed, S. Ninoria, C. krishnan, Suresh Babu Rajasekaran, B. Alfurhood, D. P. Singh
{"title":"利用智能人工智能非正式技术在交易领域开发智能聊天机器人","authors":"Nachaat Mohamed, S. Ninoria, C. krishnan, Suresh Babu Rajasekaran, B. Alfurhood, D. P. Singh","doi":"10.1109/ICACITE57410.2023.10182528","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence (AI) and Natural Language Processing (NLP) calculations are being used to create a sophisticated system known as a chatbot. It answers questions from customers and successfully communicates with them. Discourse/discussion administrators are most frequently used by organizations, official affiliations, and fictitious affiliations. Organizations that deal with money, like banks, charge card companies, associations with online retailers, and new businesses, frequently disseminate them. These conversational specialists work for a variety of companies, from huge associations to tiny, new businesses. There are chatbot advancement frameworks on the market that are both interface-and code-based. They do their best to avoid being nimble and adaptable when starting sincere conversations though. There are several well-known intelligent personal assistants, including \"Amazon's Alexa, Google's Google Assistant, and Microsoft's Cortana.\" These experts only have a few components. The current chatbots don't deliver satisfactory results, regardless of whether they were developed using recovery-based strategies, rule-based tactics, or basic AI computations. This article offers a basic audit of chatbots and carefully examines and discusses the available strategies.","PeriodicalId":313913,"journal":{"name":"2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of Smart Chabot in the Field of Trading using Smart Artificial Intelligence Informal Technology\",\"authors\":\"Nachaat Mohamed, S. Ninoria, C. krishnan, Suresh Babu Rajasekaran, B. Alfurhood, D. P. Singh\",\"doi\":\"10.1109/ICACITE57410.2023.10182528\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial Intelligence (AI) and Natural Language Processing (NLP) calculations are being used to create a sophisticated system known as a chatbot. It answers questions from customers and successfully communicates with them. Discourse/discussion administrators are most frequently used by organizations, official affiliations, and fictitious affiliations. Organizations that deal with money, like banks, charge card companies, associations with online retailers, and new businesses, frequently disseminate them. These conversational specialists work for a variety of companies, from huge associations to tiny, new businesses. There are chatbot advancement frameworks on the market that are both interface-and code-based. They do their best to avoid being nimble and adaptable when starting sincere conversations though. There are several well-known intelligent personal assistants, including \\\"Amazon's Alexa, Google's Google Assistant, and Microsoft's Cortana.\\\" These experts only have a few components. The current chatbots don't deliver satisfactory results, regardless of whether they were developed using recovery-based strategies, rule-based tactics, or basic AI computations. This article offers a basic audit of chatbots and carefully examines and discusses the available strategies.\",\"PeriodicalId\":313913,\"journal\":{\"name\":\"2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACITE57410.2023.10182528\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACITE57410.2023.10182528","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of Smart Chabot in the Field of Trading using Smart Artificial Intelligence Informal Technology
Artificial Intelligence (AI) and Natural Language Processing (NLP) calculations are being used to create a sophisticated system known as a chatbot. It answers questions from customers and successfully communicates with them. Discourse/discussion administrators are most frequently used by organizations, official affiliations, and fictitious affiliations. Organizations that deal with money, like banks, charge card companies, associations with online retailers, and new businesses, frequently disseminate them. These conversational specialists work for a variety of companies, from huge associations to tiny, new businesses. There are chatbot advancement frameworks on the market that are both interface-and code-based. They do their best to avoid being nimble and adaptable when starting sincere conversations though. There are several well-known intelligent personal assistants, including "Amazon's Alexa, Google's Google Assistant, and Microsoft's Cortana." These experts only have a few components. The current chatbots don't deliver satisfactory results, regardless of whether they were developed using recovery-based strategies, rule-based tactics, or basic AI computations. This article offers a basic audit of chatbots and carefully examines and discusses the available strategies.