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A Survey on Various Chatbot Implementention Techniques JASC: Journal of Applied Science and Computations ISSN NO: 1076-5131 A SURVEY ON VARIOUS CHATBOT IMPLEMENTENTION TECHNIQUES Ch.Sitha Mahalakshmi, T.Sharmila, S.Priyanka, Mr.Rajesekhar Sastry,Dr. B V Ramana Murthy and Mr.C Kishor Kumar Reddy. Stanley College of Engineering and Technology for women-Hyderabad [email protected], [email protected], [email protected],[email protected],[email protected] in, [email protected] ABSTRACT Today is the era of intelligence in various machines. With the advances in the technology, machines have started to portray different human attributes. A chatbots is a type of application which is generated by computer. It is capable of having virtual conversation with the user in such a way that they don’t feel like they are actually talking to the computer. Chatbots will provide a simple and friendly way for customers to ask or send the information instead of searching through the websites. In this survey we describe artificial intelligence, history of chatbot, applications of chatbots. Keywords: Chatbots, AIML, Eliza, ALICE, Knowledge based. 1.Introduction In this quickly growing world it is necessary to have a different ideology to access the information rapidly in a simple way. Artificial intelligence is a way of making a computer thinks intelligently in the similar manner the intelligent human think. It is a science and technology based on disciplines such as computer science, biology, psychology, linguistics, mathematics and engineering. Artificial intelligence technique is a manner which provides knowledge efficiently in such a way that It should be graspable by the people The errors should easily detectable and corrected To achieve the collaboration between user and machine they have introduced a new conversational entitie called as chatbot. Chatbot is computer program capable to carry a friendly conversation the user. A chatbot is an intelligent conversation between human and machine. The term chatbot is a synonym with text conversation but growing through voice communication. The chatbot can have conversation with you through different channels like Siri, facebook, Skype, messenger, we chat, telegram, slack and many others. Volume VI, Issue I, January/2019 Page No:320 JASC: Journal of Applied Science and Computations ISSN NO: 1076-5131 for different purpose such shopping customer service, news, games and many others. A chatbot is also known as smartbot, chatterbot, imbot, talkbot, bot, interactive agent, conversational interface artificial conversation entities. Chatbot are typically used in dialogue systems for various practical purposes. 2. History of chatbots The history to chatbots has being developed since1950, when Alan Turing published his ―Computing Machinery and Intelligence‖. The paper published by Alan Turing is regarded as one of the basic foundations of Artificial Intelligence and the Turing Test he proposed in this paper can be Considered as a benchmark for assess the worth of computer system intelligence .The fame of his proposed test has become a scrutiny to Joseph Weizenbaum‘s program Eliza which was introduced in 1966 at the MIT AI Laboratory. Eliza pretend to have a simple, text based conversation between a user and the computer. Joseph Weizenbaum‘s main intent in creating Eliza was to manifest the superficies the interaction between user and machine .Eliza's key method of operation which recognizes the prompt words or phrases in the input, and the output of corresponding pre-programmed or pre- prepared responses that can move the conversation a head in an apparently meaningful way. Thus an apparition of understanding is initiated, even though the processing involved has been entirely peripheral. Eliza showed this illusion is easy to generate and astonishingly proven that it is ―intelligent. However, he did not contemplate the possibility of how a lot of people can easily attributed human-like feelings to the program. Table:2.1 The history of chatbot 1950: It all began in 1950, when an English computer named Alan Turing, threw down the gauntlet by publishing an article entitled ―Computer Machinery and Intelligence. 1966: Eager computer scientist and contemporaries of Turing tried to pass his test. Eliza created in 1966 by Joseph Weizenbaum. Eliza was one of the first chatbots in the history although Eliza was able to fool some users into thinking that they were actually talking to a human; Eliza failed the Turing Test of Alan. Despite that, the principles used in Eliza laid a foundation for the structures of chatbots, such as specific phrases, keywords and preprogramming responses. 1972: Kenneth Colby introduced PARRY in 1972, a chatbot that could replicate a person with paranoid schizophrenia. In an experiment given to psychiatrists, only 48% were able to identify the difference between PARRY and a real person. 1995: A.L.I.C.E., a popular online bot was and a processing bot. Although A.L.I.C.E. was unable to pass the Turing Test, she did receive many other rewards for being the most advanced bot of exhibition time. Volume VI, Issue I, January/2019 Page No:321 JASC: Journal of Applied Science and Computations ISSN NO: 1076-5131 2001: That is, until Smarter child came out. In many ways, it was the progenitor to Apple‘s Siri and Samsung‘s S Voice. 2010-2015: Over the next decade or so, bots became very popular among big tech companies, starting with in Siri introduced in 2010, Google Now in Alexa in 2015 and Cortana in 2015. These bots can able to give response to voice commands, play audio and video, and perform internet searches, and many other tasks. Present: Amazon wants to improve Alexa by making it an intelligent socialbot that can have interaction about anything with anyone. The students at BYU have been building on the work of past computer scientists to take AI to the next level. Before, chatbots ran on keywords and specific phrases; now, they are creating chatbots that function based on neural networks and machine learning. It is incredible to see the progress made with AI, and it is exciting to think about the progress that will come in the future The Latest in Chatbot History: From Messaging Apps to Operating Systems. Before the West would fully embrace chatbots in messaging apps, we‘d talk to ones built into our mobile devices. Siri was the first mainstream assistant built natively into a mobile OS, released in 2010. With Siri, users could interact via text or voice, performing many tasks easily via natural language. Like other mobile assistants to follow, Siri‘s feature has become a great extent into tasks that could be performed across the device‘s operating system, including apps that users can installed on their devices. Future: Our history of chatbots takes us to the present-day and near-future. In the latest development, mobile assistants are transitioning to other devices like smart speakers. Similarly, niche bots you‘re used to talking via messaging apps which are becoming voice apps. In these upcoming technology no longer just assistants for accomplishing tasks, chatbots are serving as the primary boundary for managing a whole collection of connected devices. And it‘s not just smart speakers in the home, either. Voice assistants and chatbots are in advance traction in wearable devices from the Siri-powered Apple Watch to the Google Assistant- powered Pixel Buds. Together with the Internet of Things, chatbots are set to modernize the way we intermingle with everything around us, perhaps ultimately cutting out the need for computers or mobile phones for the middling consumer. The future looks bright for chatbots, and we‘re eager to see where things are headed next! 3. Survey on Chatbot It is also difficult to get all the valuable information you desire from passionate attempt at being shared. Anytime a knowledge falls somewhere in the middle, it rarely gets an over the phone or online, surveys can feel impersonal and not of particular value to the customer or responder. 3.1 Customers Prefer a Survey Chatbot for Conversational Forms We are able to offer a better experience for the user by using a chatbot for surveys we create a virtual interviewer and make conversational surveys. Users are able to answer questions by Volume VI, Issue I, January/2019 Page No:322 JASC: Journal of Applied Science and Computations ISSN NO: 1076-5131 using their available or favorite platforms, such as messenger, facebook. By deploying a messenger Facebook survey bot, they ensure that users never have to leave the application to provide valuable feedback. In collaboration with YouGov a research is conducted at Michigan State University, and tested. YouGov‘s traditional online email-based pane vs. a set of consumer electronics surveys administered on Facebook Messenger. The survey showed that 76% of people participated the survey via Facebook Messenger, and those who did rated the overall survey considerably higher than the web-based one.And, according to Quick Tap Survey, 64% of customers would rather text than call a business and 40% of customers prefer self-service to interacting with a human. These survey results support the proposal that people are more inclined to give us the feedback we are looking for via a surveybot, as opposed to other survey methods. 3.2 How a Chatbot Survey Benefits Your NPS In dealing with surveys, many companies are looking to gather information on their NPS, or Net Promoter Score. This is the industry standard in assessing your customer‘s experience and is therefore very important to pay attention to.Survey chatbots have a variety of use cases that can help with your customer‘s experience and keep your NPS score on the rise. Creating a survey with a user-friendly platform such as Messenger Facebook is one way to acquire the information you need to examine your customer experience and make it more optimistic.
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