From the point of view of expressionįrom the perspective of expression, Chatbot can be divided into two types: single-round dialogue and multi-round dialogue. Its application scenarios are usually integrated into chatbot systems as a question-and-answer service. The main functions of intelligent question answering chatbots include answering factual questions raised by users in natural language and questions requiring calculation and logical reasoning, so as to directly meet users' information needs and assist users in decision-making. Its application scenarios are usually portable mobile terminal equipment. Personal assistant applications mainly interact with the chatbot system through voice or text to realize personal affairs query and agency functions, such as weather query, air quality query, positioning, SMS sending and receiving, schedule reminder, intelligent search, etc., so as to assist more conveniently User's daily transaction processing. Its application scenarios are usually learning, training software, and smart toys with human-computer interaction functions. According to the content of education, the educational chatbot system includes building an interactive language use environment to help users learn a certain language in learning a certain professional skill, instructing the user to gradually and deeply learn and master the skill in the user's specific age stage, to help users carry out assisted learning of certain knowledge, etc. Its application scenarios are usually social media, children's toys, etc. The main function of the chatbot system in entertainment scenarios is to conduct open-topic dialogues with users, so as to achieve the functions of spiritual companionship, emotional comfort, and psychological counseling for users. Its application scenarios are usually website homepages and mobile terminals. The main function of the online customer service chatbot system is to communicate with users and automatically reply to users' questions about products or services, so as to reduce the operating cost of enterprise customer service and improve the user experience. Classification of chatbots From the perspective of application scenariosįrom the perspective of application scenarios, it can be divided into five categories: online customer service, entertainment, education, personal assistant, and intelligent question and answer. The language-independent design of the chatbot allows it to be trained to speak any language. Your chatbot can simulate conversations with users through messaging apps, websites, mobile apps, and more, providing them with accurate and relevant information.Chatbots are machine learning-based conversation engines built into Python that generate responses based on collections of known conversations. Chatbots identify their needs by using natural language processing algorithms to identify the meaning of conversations or phrases provided by end users. How chatbots workĬhatbots are the support system for your customer service. Non-assistant applications include chat rooms for entertainment purposes, research and specific product promotions, social bots. Chatbots are part of a virtual assistant that can connect with many organizations' apps, websites, and instant messaging platforms. Some chatbots will be equipped with natural language processing systems, but most simple systems will only retrieve the input keywords, and then find the most appropriate response sentence from the database. Able to simulate human conversation and pass the Turing test.Ĭhatbots can be used for practical purposes, such as customer service or information acquisition. Chatbots are computer programs that communicate via dialogue or text.
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