Domain and Intelligence Based Multimedia Question Answering System
Multimedia question answering systems have become very popular over the past few years. It allows users to share their thoughts by answering given question or obtain information from a set of answered questions. However, existing QA systems support only textual answer which is not so instructive for...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2016-09-01.
|
| Subjects: | |
| Online Access: | Get fulltext |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 02697 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | IJERE_4544_2738 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Kumar, Krishnamoorthi Magesh |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Valarmathie, P. |e author |
| 245 | 0 | 0 | |a Domain and Intelligence Based Multimedia Question Answering System |
| 260 | |b Institute of Advanced Engineering and Science, |c 2016-09-01. | ||
| 500 | |a https://ijere.iaescore.com/index.php/IJERE/article/view/4544 | ||
| 520 | |a Multimedia question answering systems have become very popular over the past few years. It allows users to share their thoughts by answering given question or obtain information from a set of answered questions. However, existing QA systems support only textual answer which is not so instructive for many users. The user's discussion can be enhanced by adding suitable multimedia data. Multimedia answers offer intuitive information with more suitable image, voice and video. This system includes a set of information as well as classification of question and answer, query generation, multimedia data selection and presentation. This system will take all kinds of media such as text, images, videos, and videos which will be combined with a textual answer. In a way, it automatically collects information from the user to improvising the answer. This method consists of ranking for answers to select the best answer. By dealing out a huge set of QA pairs and adding them to a database, multimedia question answering approach for users which finds multimedia answers by matching their questions with those in the database. The effectiveness of Multimedia system is determined by ranking of text, image, audio and video in users answer. The answer which is given by the user it's processed by Semantic match algorithm and the best answers can be viewed by Naive Bayesian ranking system. | ||
| 540 | |a Copyright (c) 2016 International Journal of Evaluation and Research in Education (IJERE) | ||
| 540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Multimedia Answers, Naive Bayesian Ranking, System,Question Answering System, Question Classification, Ranking, Textual Answers | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n International Journal of Evaluation and Research in Education (IJERE); Vol 5, No 3: September 2016; 227-234 | |
| 786 | 0 | |n 2620-5440 | |
| 786 | 0 | |n 2252-8822 | |
| 786 | 0 | |n 10.11591/ijere.v5i3 | |
| 787 | 0 | |n https://ijere.iaescore.com/index.php/IJERE/article/view/4544/2738 | |
| 856 | 4 | 1 | |u https://ijere.iaescore.com/index.php/IJERE/article/view/4544/2738 |z Get fulltext |