CAAS (Chatbot as a Service): Sector-Wise Survey

DOI

10.2991/978-94-6463-136-4_11How to use a DOI?

Keywords

Chatbot; AI; NLP; Finance; Health; Education; E-commerce; Metrics; Rule-Based; Machine Learning; Intent; Response; Domain; Task-based conversation Voice Based Conversation; bot system; social media

Abstract

The worldwide chatbot and voice Bot market share were worth USD 526 million in 2021 even more than that. A chatbot system application uses conversational counterfeit insights (AI) innovation to re-enact a discussion (or chat) with a client using informing apps, websites, mobile apps, or the phone. Chatbots are not related as a single or specific category but they expanded along a more extensive range. Chatbot applications and systems have been expanded over a long period, well-known prime examples include ELIZA, ALICE, and HeX. However, human computation lacks the speed of information processing, and it is inevitable to process a large number of user requests. A comprehensive and systematic methodological review of the literature on this topic was performed using a two-step approach. First, relevant keywords, synonyms, and search strings are identified to search for relevant research papers on the chatbot. The second step is article selection and investigation of papers, classifying papers into sub-categories based on aspects of the chatbot system.

For the review purpose, initially183 articles have been encompassed according to the eligibility criteria for inclusion. Afterward, the full text of articles deemed eligible was further assessed for inclusion. Based on IC and EC, we have identified 42 articles for inclusion in the collection; Following Sectors covered in this article, such as CAAS (Chatbot as a service) in Education Sector, CAAS (Chatbot as a service) in Health Sector, CAAS (Chatbot as a service) in Ecommerce Sector, CAAS (Chatbot as a service) in General Use. There are two main points in this area of research: how well chatbots can understand user messages and how well chatbots can provide context-correct answers.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Satish V. Bhalshankar
AU  - Ratnadeep R. Deshmukh
PY  - 2023
DA  - 2023/05/01
TI  - CAAS (Chatbot as a Service): Sector-Wise Survey
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 86
EP  - 111
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_11
DO  - 10.2991/978-94-6463-136-4_11
ID  - Bhalshankar2023
ER  -