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Doc2Vec based Question and Answer Search System

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@article{IJASEIT14079,
   author = {HeeSeok Cho and Yong Kim},
   title = {Doc2Vec based Question and Answer Search System},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {1},
   year = {2021},
   pages = {31--36},
   keywords = {eLearning; LMS; word2vec; doc2vec; question and answer search.},
   abstract = {

E-learning interaction acts as a positive factor, such as improving learning commitment and learning effect and reducing the dropout rate. As an important function of e-learning interaction, if a learner queries a content that is difficult to understand during learning, a question-and-answer bulletin board that responds to the question is provided by a professor. In the way that the instructor directly answers the learner's questions, real-time feedback is difficult, and the instructor's fatigue increases. The purpose of this study is to achieve the goal of reducing answering time and reducing answering costs by developing a question-and-answer search system that automatically searches for and provides answers to questions created by learners during learning. To this end, this study designed and implemented a question-and-answer search system that provides the most similar query answers to learners by analyzing questions and answers based on Doc2Vec, one of the word embedding technologies, which is a natural language processing technology.   By applying the results of this study to the question-and-answer system, it is expected that the learning effect can be enhanced by providing an immediate answer to the learner's question. In addition, organizations that pay response fees through the national budget, such as the Korea Educational Broadcasting Corporation, will be able to focus more on investments such as improving content quality through budget reduction.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14079},    doi = {10.18517/ijaseit.11.1.14079} }

EndNote

%A Cho, HeeSeok
%A Kim, Yong
%D 2021
%T Doc2Vec based Question and Answer Search System
%B 2021
%9 eLearning; LMS; word2vec; doc2vec; question and answer search.
%! Doc2Vec based Question and Answer Search System
%K eLearning; LMS; word2vec; doc2vec; question and answer search.
%X 

E-learning interaction acts as a positive factor, such as improving learning commitment and learning effect and reducing the dropout rate. As an important function of e-learning interaction, if a learner queries a content that is difficult to understand during learning, a question-and-answer bulletin board that responds to the question is provided by a professor. In the way that the instructor directly answers the learner's questions, real-time feedback is difficult, and the instructor's fatigue increases. The purpose of this study is to achieve the goal of reducing answering time and reducing answering costs by developing a question-and-answer search system that automatically searches for and provides answers to questions created by learners during learning. To this end, this study designed and implemented a question-and-answer search system that provides the most similar query answers to learners by analyzing questions and answers based on Doc2Vec, one of the word embedding technologies, which is a natural language processing technology.   By applying the results of this study to the question-and-answer system, it is expected that the learning effect can be enhanced by providing an immediate answer to the learner's question. In addition, organizations that pay response fees through the national budget, such as the Korea Educational Broadcasting Corporation, will be able to focus more on investments such as improving content quality through budget reduction.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14079 %R doi:10.18517/ijaseit.11.1.14079 %J International Journal on Advanced Science, Engineering and Information Technology %V 11 %N 1 %@ 2088-5334

IEEE

HeeSeok Cho and Yong Kim,"Doc2Vec based Question and Answer Search System," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 1, pp. 31-36, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.1.14079.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Cho, HeeSeok
AU  - Kim, Yong
PY  - 2021
TI  - Doc2Vec based Question and Answer Search System
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 1
Y2  - 2021
SP  - 31
EP  - 36
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - eLearning; LMS; word2vec; doc2vec; question and answer search.
N2  - 

E-learning interaction acts as a positive factor, such as improving learning commitment and learning effect and reducing the dropout rate. As an important function of e-learning interaction, if a learner queries a content that is difficult to understand during learning, a question-and-answer bulletin board that responds to the question is provided by a professor. In the way that the instructor directly answers the learner's questions, real-time feedback is difficult, and the instructor's fatigue increases. The purpose of this study is to achieve the goal of reducing answering time and reducing answering costs by developing a question-and-answer search system that automatically searches for and provides answers to questions created by learners during learning. To this end, this study designed and implemented a question-and-answer search system that provides the most similar query answers to learners by analyzing questions and answers based on Doc2Vec, one of the word embedding technologies, which is a natural language processing technology.   By applying the results of this study to the question-and-answer system, it is expected that the learning effect can be enhanced by providing an immediate answer to the learner's question. In addition, organizations that pay response fees through the national budget, such as the Korea Educational Broadcasting Corporation, will be able to focus more on investments such as improving content quality through budget reduction.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14079 DO - 10.18517/ijaseit.11.1.14079

RefWorks

RT Journal Article
ID 14079
A1 Cho, HeeSeok
A1 Kim, Yong
T1 Doc2Vec based Question and Answer Search System
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 1
YR 2021
SP 31
OP 36
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 eLearning; LMS; word2vec; doc2vec; question and answer search.
AB 

E-learning interaction acts as a positive factor, such as improving learning commitment and learning effect and reducing the dropout rate. As an important function of e-learning interaction, if a learner queries a content that is difficult to understand during learning, a question-and-answer bulletin board that responds to the question is provided by a professor. In the way that the instructor directly answers the learner's questions, real-time feedback is difficult, and the instructor's fatigue increases. The purpose of this study is to achieve the goal of reducing answering time and reducing answering costs by developing a question-and-answer search system that automatically searches for and provides answers to questions created by learners during learning. To this end, this study designed and implemented a question-and-answer search system that provides the most similar query answers to learners by analyzing questions and answers based on Doc2Vec, one of the word embedding technologies, which is a natural language processing technology.   By applying the results of this study to the question-and-answer system, it is expected that the learning effect can be enhanced by providing an immediate answer to the learner's question. In addition, organizations that pay response fees through the national budget, such as the Korea Educational Broadcasting Corporation, will be able to focus more on investments such as improving content quality through budget reduction.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14079 DO - 10.18517/ijaseit.11.1.14079