IJERT-Introduction to AI Chatbots (original) (raw)
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This abstract includes the total quantum of the chatbot. A new approach to computer-to-mortal business is handed by conversational interfaces, or chatbots as they're generally known. In the history, exercising a quest machine or completing a form was demanded in order to have a software programme respond to a query, as programs were fully reckoned on syntax and semantics of the programming language and it was veritably delicate for the nonprogrammers to communicate with computers. With a chatbot, a customer may principally interrogate request the same way they would with a mortal. Voice chatbots like Alexa and Siri are right now the most well-known feathers of chatbots. On the other hand, chatbot handover rates on computer discourse platforms are presently truly strong. You may make a introductory chatbot by adding generally asked questions (FAQs) to chatbot software. major invention companies to prepare common shoptalk. Integrating the chatbot with the company's enterprise software can enhance its capabilities. The maturity of marketable chatbots calculate on platforms developed by the major technology companies to exercise natural language. Amazon Lex, IBM Watson, Face book Deep Text, Google Cloud Natural Language API, Slack, Skype, and Microsoft Cognitive Services are a numerous of these.
A Survey on Various Types of Chatbots
IRJET, 2022
Chatbots are software applications which are mainly used to perform tasks asked by the users. These are just like virtual assistants. With the increase in conversational medias, chatbot's application increased drastically. Many social media, e-commerce, banking sectors also use these chatbots for easy access to the customers. These chabtots can communicate with users anytime and they won't require more cost for maintenance. Thus many websites and conversational platforms are choosing chatbots as face of their products. The aim of this paper is to get to know in-details about various kinds of chatbots available in market and their applications in real life scenarios.
Chatbots: History, technology, and applications
Machine Learning with Applications, 2020
This literature review presents the History, Technology, and Applications of Natural Dialog Systems or simply chatbots. It aims to organize critical information that is a necessary background for further research activity in the field of chatbots. More specifically, while giving the historical evolution, from the generative idea to the present day, we point out possible weaknesses of each stage. After we present a complete categorization system, we analyze the two essential implementation technologies, namely, the pattern matching approach and machine learning. Moreover, we compose a general architectural design that gathers critical details, and we highlight crucial issues to take into account before system design. Furthermore, we present chatbots applications and industrial use cases while we point out the risks of using chatbots and suggest ways to mitigate them. Finally, we conclude by stating our view regarding the direction of technology so that chatbots will become really smart.
Introductory Chapter: Journey to AI Driven Chatbots
IntechOpen eBooks, 2023
Business communication today is driven by the organizational financial performance and customer best quality service provision. The rise of 24/7 ubiquitous access to Internet and Applied Artificial Intelligence (AAI) creates a platform for future fully-automated cyberspace. Role of Computing has become an essential part of research, innovation and development of future cutting-edge technologies that will transform the way we live to a next level, where Machine-to-Machine Communication will drive Human-to-Human Communication. Today we see the technology that has brought the Computational Machines much closer to us people, and LEXA is becoming an integrated part home companionship and the entertainment for many young families who are tech-savvy and love to play with the high-tech. Naturally, there are many dimensions to technological innovation and application of AI that are fascinating and inspire scholars and industry developers to push the edge of advancement of next generation technologies that will promote a Cyber Automation and Ultra Smart Living for everyone. The Machine learning (ML) as a subdomain of artificial intelligence enables smart computational device to abstract patterns from data without explicit programming. In addition to AI and ML, we see the rise of Humanoid Robotics that has potential to act like, look like, talk like and reason like human, and eventually becoming an essential part of an organizational business infrastructure worldwide [1]. Some experts compare level of intelligence of new Humanoid Robot called Sophia to that of a one month old new born baby that is at the very beginning of discovering the world around and is beginning to observe and to learn to communicate with his or her parents. Yet, very young and tiny, babies have a Natural Intelligence and Human Reasoning that may be compared to a computational capacity of most performant Supercomputer in the world today. Many experts suggest that there are fundamental differences between the AI and Natural Intelligence (NI) and that future evolution of AI driven Software Agents and Humanoid Robotics may have strong impact on the future Industry 5.0 and 6.0, Business to Business (B2B) and Mobile Commerce (mC). Given recent COVID relates crisis, applications of AI in business, industry, government, academia and other sectors have become ubiquitous showing more and more examples of Smart Software Agents application. The next section, presents examples of the AI driven applications including chatbots and ChatGPT, and discus what, how and where they are.
Survey of Chatbot Applications
TEST Engineering & Management, 2020
Chatbot a computer application designed to imitate conversation with human users, especially over the internet. Chatbots, or conversational interfaces as they are also known, present a new way for individuals to interact with computer systems. Traditionally, to get a question answered by a software program involved using a search engine, or filling out a form. A chatbot allows a user to simply ask questions in the same manner that they would address a human. Example, resolving customer queries: Answering questions is helpful but a chatbot is not that useful if it cannot complete transactions. For example, if customers frequently call to check the delivery time of their package, it makes sense to let the chatbot handle those questions, answering frequently asked questions, and recommending new offers: Recommending the right products to the customer based on her verbal feedback. The most well known chatbots currently are voice chatbots: Alexa and Siri. However, chatbots are currently being adopted at a high rate on computer chat platforms.
Literature Survey of Various Chatbots
2020
Abstract: A chatbot is AI computer software that can act as a conversation through textual or auditory methods. The core of chatbots analyses a customer’s data using the artificial intelligence which integrates the response with them. Different tasks can be replaced with AI-powered bots as they are much more powerful—and are capable of performing multiple tasks at once. Machine Learning techniques are basically used in the process of understanding the input that we get from the user and replying to the user. Natural language processing allows a bot to have a conversation as naturally as possible. The ideal interaction between user and chatbot is a balanced mix of Innovative technology and human Intervention.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022
Chatbot can be understood as a software that can chat with people using artificial intelligence. This software can also perform tasks such as quickly responding to users, informing them, helping to purchase products and providing the customers better services. A chatbot is a computer software program that can conduct a conversation by an auditory or textual methods. Chatbot has become more popular in business group in the present as it can reduce customers service costs and handles multiple users at a time. But it is yet to accomplish tasks that needs to make chatbots as efficient as possible. In this project, we aim to design a chatbot that provides a genuine and accurate answer for queries using Artificial Intelligence Markup Lanugages (AIML) and with the present of python platform.
Chatbots & Its Techniques using AI: A Review
2020
The next major feature of the age of conversational services is chatbots in the new era of technology. A Chatbot framework is a software program that uses natural language to communicate with users. Chatbots is a virtual entity that can effectively explore the use of digital textual competencies with any human being. Recently, their growth as a medium of conversation between people and computers has taken a great step forward. The aim of the chatbot framework for machine learning and artificial intelligence is to simulate a human conversation , maybe through text or speech. Natural Language Processing understands one or more human languages through chatbot software. To simulate informal chat communication, the chatbot structure combines a language model and computational algorithms covering enormous natural language processing techniques. This paper discusses other applications that may be useful for chatbots, such as a computer conversation system, virtual agent, dialogue system, retrieval of information , industry, telecommunications, banking, health, customer call centers, and e-commerce. It also offers an overview of cloud-based chatbots technology along with the programming of chatbots and programming problems in the chatbot's present and future periods.
International journal of engineering research and technology, 2018
A chatbot is a computer program aims to make a conversation between both human and machine. The chatbot can also act as a service to be used in various platforms such as messaging apps and virtual assistants. The chatbot has evolved a lot in decades starting from an amusement to performing serious tasks.A lot of design factors are to be kept in mind while constructing a chatbot in order to make it user friendly and accurate. A chatbot can be classified into various types based on its domain, model and conversation type. The chatbot technology continues to face a wide variety of challenges and has to strive to fulfil the expectations.