DefinePK

DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.

Information refinement over multi-media question-answering applying ranking and Naïve Bayes classification


Article Information

View Article

Title: Information refinement over multi-media question-answering applying ranking and Naïve Bayes classification

Authors: K. Kedhareswari, B. Sathya Bama

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 18

Language: English

Keywords: mediaQuestion-Answering (QA)Naïve Bayes classifierStemming algorithmCommunity responses

Categories

Abstract

Interactive answers are feat out to the users, which plays an important role to provide information. Usually, Question-Answering (QA) is provided only in plain text which may not be in a useful format presuming the customer. Image and videos if accompanied then it would be better to demonstrate the object or process. In this paper, textual response is accompanied by the appropriate media to recommend a method inspired by the response. Our system is classified into four components, (a) Rendering media picking, (b) Questioning propagation, (c) Information picking and (d) Initiate. Rendering media picking is used to select a variety of responses to the receiver. Extracting keywords from the source in question is widely used in the questioning propagation. Choose the correct answer and the result is used to retrieve by Information picking and Initiate. We use Stemming algorithm, Naïve Bayes classifier algorithm and ranking algorithms. We have increased the contribution of community responses also. Any user can get information immediately which is unconscious. In our perspective is to dispense with multiplex query. Questions are engender on the premise of the details, then we straight-up congregate picture and video in search engines.


Paper summary is not available for this article yet.

Loading PDF...

Loading Statistics...