Year: 2018
Type: conference-paper
Abstract: The purpose of this paper is t o develop an automated system which gives reply to user query on behalf of human for education system.It can give answer to each and every query asked by end user.Existing Chabot such as Facebook chat bot, WeChat, Natasha from Hike, Operator, etc. were giving reply from its local database.But our approach is to focus on local database as well as web database and also to make system scalable, user friendly, highly interactive.Various techniques such as neural network (RNN), NLP, pattern matching data mining algorithms are used in this paper to enhance the performance of the system
Author: Nanaware, Rasika
Language: English
Topic: AI in Service Interactions
Subfield: Marketing
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2799342175