Voice botsĪpple’s Siri, Amazon’s Alexa, Google Assistant are the best examples of voice recognition-based bots. They are also called contextual chatbots. These chatbots utilize various Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI) algorithms to remember past conversations and self-improve with time. Often it is combined with the menu/button-based option to give customers a choice if the keyword recognition mechanism outputs poor results. It uses Natural Language Processing (NLP) algorithms to form answers based on the detected keywords. If the input matches the defined conditions, a chatbot outputs a relevant answer. It uses a collection of different conditions to assess the incoming words, detect specific word combinations, and form a response based on if/then logic. Rule-based chatbots are also called linguistic. This type of chatbots is widely used to answer FAQs, which make up about 80% of all support requests. Using the menu, customers can select the option they need and get the proper instructions to solve their problem or get the required information. It utilizes a decision tree hierarchy presented to a user as a list of buttons. Here are a few main chatbot types that vary in technology and functionalities: 1. They are mainly used for customer support but can also be used for optimizing inner processes. Modern chatbots are called digital assistants and can solve many tasks. It analyzes the user request and outputs relevant information. A chatbot is an Artificial Intelligence (AI) based software that simulates human conversation.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |