Title :
An intelligent question answering conversational agent using Naïve Bayesian classifier
Author :
Niranjan, Mahesan ; Saipreethy, M.S. ; Kumar, T.G.
Author_Institution :
Dept. of Comput. Sci. & Eng., Amrita Vishwa Vidyapeetham, Ettimadai, India
Abstract :
In the current scenario, learning has taken a completely new dimension. New methods of teaching like E-learning and collaborative learning etc have computerized the learning process to a large extent. But the teachers´ presence is still mandatory at all times. Also the current systems have low reliability so the teacher has to monitor them constantly. To solve this problem this paper introduces an automated question answering system. This proposed system answers the queries posted by the student in a more interactive way like a virtual teacher (chatbot system). The Q&A knowledge base can be accessed and modified by the instructor who could also know the areas where the students are more prone to doubts thus helping the student as well as the instructor.
Keywords :
belief networks; computer aided instruction; computer mediated communication; multi-agent systems; pattern classification; question answering (information retrieval); teaching; E-learning; Naïve Bayesian classifier; Q&A knowledge; automated question answering system; chatbot system; collaborative learning; intelligent question answering conversational agent; learning process; teaching methods; virtual teacher; Algorithm design and analysis; Artificial intelligence; Bayesian methods; Databases; Speech; Terminology; Artificial Intelligence; Bayesian classification; categorization; chatbot; posterior probability; tokenizer;
Conference_Titel :
Technology Enhanced Education (ICTEE), 2012 IEEE International Conference on
Conference_Location :
Kerala
Print_ISBN :
978-1-4577-0725-4
DOI :
10.1109/ICTEE.2012.6208614