| Title | A Study on Machine Learning based Conversational Agents and Designing Techniques |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Lakshmi V., Santhana |
| Conference Name | 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) |
| Date Published | oct |
| Keywords | chatbot, component, conversational agents, Data models, Deep Learning, formatting, Human Behavior, insert, Metrics, pubcrawl, Scalability, style, styling |
| Abstract | Chatbots are a computer program that was created to imitate the human during a conversation. In this technological era, humans were replaced by machines for performing most of the work. So chatbots were developed to mimic the conversation a human does with another person. The work a chatbot does ranges from answering simple queries to acting as personal assistant to the boss. There are different kinds of chatbots developed to cater to the needs of the people in different domain. The methodology of creating them also varies depending on their type. In this paper, the various types of chatbots and techniques such as Machine Learning, deep learning and natural language processing used for designing them were discussed in detail. |
| DOI | 10.1109/I-SMAC49090.2020.9243577 |
| Citation Key | lakshmi_v_study_2020 |
A Study on Machine Learning based Conversational Agents and Designing Techniques