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

Nachaat Mohamed, S. Ninoria, C. krishnan, Suresh Babu Rajasekaran, B. Alfurhood, D. P. Singh
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引用次数: 0

摘要

人工智能(AI)和自然语言处理(NLP)计算被用来创建一个被称为聊天机器人的复杂系统。它回答客户的问题,并成功地与他们沟通。话语/讨论管理员最常用于组织、官方附属机构和虚构附属机构。与金钱打交道的组织,如银行、信用卡公司、在线零售商协会和新企业,经常传播它们。这些对话专家为各种各样的公司工作,从大型协会到小型新公司。市场上有一些基于界面和代码的聊天机器人开发框架。不过,在开始真诚的对话时,他们会尽量避免表现得过于灵活和适应性强。有几个著名的智能个人助理,包括“亚马逊的Alexa,谷歌的Google Assistant,微软的Cortana”。这些专家只有几个组成部分。无论是使用基于恢复的策略、基于规则的策略还是基本的人工智能计算,目前的聊天机器人都不能提供令人满意的结果。本文提供了对聊天机器人的基本审计,并仔细检查和讨论了可用的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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