dc.description.abstract |
Our work is developing a Chatbot using recurrent attention model focuses on developing a
model which will be able to generate responses automatically to the questions asked using
a number of different machine learning techniques. Expert system development is assisting
forstudents as a guideline, being informed of what is happening now in a university, library
and its resources information, frequently asked questions for newcomers to know specific
information like admission procedure, requirements, address of the faculty members office
and so on. Any questions related to a university might provide through chatbot for
educational purpose. Chatbot which is a computer program, conversation with human
beings by using AI in messaging platforms or in a website. It has own management way of
ability setting up discussions include a description of making things convenient how
natural language processing executes on it. Natural Language Processing (NLP) is an area
of research and application that explores how computers understand and manipulate natural
language text or speech in order to achieve meaningful results. Through natural language
processing, researchers aim to gather knowledge on how people understand, process and
make use of language. This is done in such a way that appropriate tools and techniques can
be developed to prepare computer systems understand and manipulate natural languages to
perform desired tasks. Chatbots, following set of rules and Machine learning, the process
through which we conducted in here. The dataset that we had trained, have three main
components which are story, questions, and answer. Training data regarding an educational
institution on which newcomers along with currently enrolled students may get their
required query about what they are asking through the chatbot. Saving time by solving
query of desired people’s frequently asked questions in one place is sole purpose of this
chatbot |
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