International Journal of Information Engineering and Electronic Business(IJIEEB)
ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)
Published By: MECS Press
IJIEEB Vol.10, No.1, Jan. 2018
A Mobile based Intelligent Question Answering System for Education Domain
Full Text (PDF, 402KB), PP.16-23
The domain of intelligent question answering systems is leading the major role in fulfill the user requirement with specific answers stimulate QA research to the next level with machine learning techniques. In this paper, we present mobile based question answering system acts as a personal assistant in learning and for providing the user with information on computers, software and hardware, book reviews by using natural language for the communications. The proposed Mobile based QA models will accept the natural language query, analysis and match them with information stored in the knowledge base and display the optimized result. The knowledge base created from the benchmark data set such as Amazon book reviews, 20newsgroup and Yahoo! Answer data set clustered with content specific clustering and displays the outcome in the form of snippets as output. Sentiment analysis used to decrease the vocabulary gap among the user query and retrieved candidate answer solutions. The results of the proposed interface evaluated with standard metrics such as Precision, Recall, F1-Score, Inverse precision and Inverse recall for the appropriate return of relevant answer.
Cite This Paper
Karpagam K, Saradha A," A Mobile based Intelligent Question Answering System for Education Domain", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.10, No.1, pp. 16-23, 2018. DOI: 10.5815/ijieeb.2018.01.03
G.Manoranjithm el,”Mobile Question Answering system based on social network “, International Journal of Advanced Research in computer and communication Engineering “, September, 2013.
D.Aravind Gosh,” Literature survey on mobile Q & A system in the cloud based environment “, International Journal of Innovative research in computer and communication Engineering“, January 2015.
Yavuz Selim Yilmaz,”Targeted Question Answering on Smartphone Utilizing App Based User Classification”, IEEE, 2014.
Dr. M. Sikandar Hayat Khiyal,” Mobile System Using Natural Language Annotations for Question Answering”, International Conference on Computer Technology and Development, 2009.
Jilani, Aisha,”Mobile Phone Text Processing and Question Answering. In: Future Technologies in Computing and Engineering”: Proceedings of Computing and Engineering Annual Researchers’ Conference, 2010.
Daniel Ortiz-Arroyo,”Flexible Question Answering System for Mobile Devices”, IEEE, 2008.
Fernando Zacar¶ias F,” mQA: Question Answering in Mobile devices”, 2009.
P.Civicioglu, and E. Besdok, “A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms”, Artificial Intelligent Reviews, Springer, 2011.
Xiin-She Yang and Deb, “Engineering optimization by Cuckoo Search ", J. Mathematical Modeling and Numerical Optimization, vol. 1, no. 4, 2010.
Nitisha Gupta, Dr.Sharad Sharma, “Nature-inspired Techniques for Optimization: a brief review”, International Journal of Advance Research in Science and Engineering, Vol no.5, 2016.
M. Bhuvaneswari,”Nature Inspired Algorithms: A Review “, International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE) ISSN: 0976-1353 Volume 12 Issue, DECEMBER, 2014.
Iztok Fister Jr., Xin-She Yang, Janez Brest, Duˇsan Fister,” A Brief Review of Nature-Inspired Algorithms for Optimization”, Elektrotehni Ski Vestnik 80(3): 1–7,2013.
Abdessamad Echihabi, Ulf Hermjakob, Eduard Hovy, Daniel Marcu, Eric Melz, and Deepak Ravichandran., ”How to Select Answer String”, Springer Netherlands,2006.
Jeon, J., Croft, W., & Lee, J, “Finding semantically similar questions based on their answers”, In Proceedings of the annual international ACM SIGIR conference on research and development in information retrieval, 2005.
Lomiyets, Oleksandr & Moens, Marie-Francine,”A survey on question answering technology from an information retrieval perspective”, Information Sciences, 2011.
Tilani Gunawardena, “Performance Evaluation Techniques for an Automatic Question Answering System”, International Journal of Machine Learning and Computing, Vol. 5, No. 4, August, 2015.
Sanglap Sarkar,”NLP Algorithm Based Question and Answering System”, Seventh International Conference on Computational Intelligence, Modeling and Simulation, 2015.
Gunnar Schröder et al, ”Setting Goals and Choosing Metrics for Recommender System Evaluations “5th ACM Conference on Dresden University of Technology Recommender Systems Chicago, October 23th, 2011.
Liu, S., Liu, F., Yu, C., & Meng, W, “An effective approach to document retrieval via utilizing WordNet and recognizing phrases", In Proceedings of the annual international ACM SIGIR conference on research and development in information retrieval (pp.266–272). ACM, 2004.
Christos Bouras, Vassilis Tsogkas,”A clustering technique for news articles using WordNet,” Elsevier- Knowledge-Based Systems, 2012.
Tunstall-Pedoe, William,”True Knowledge: Open-Domain Question Answering Using Structured Knowledge and inference”, AI Magazine, Vole 31 Number 3, pp.80-92, 2010.
Gang Liu and Tianyong Hao, ”User-based Question Recommendation for Question Answering System“, International Journal of Information and Education Technology, Vol. 2, No.3,June 2012.
Ming Tan, Cicero dos Santos, Bing Xiang & Bowen Zhou, ”Improved Representation Learning for Question Answer Matching”,, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, August pp. 7-12,2016.
Mansaf Alam, Kishwar Sadaf, Web Search Result Clustering based on Cuckoo Search and Consensus Clustering”, Indian Journal of science and Technology, Volume 9,Issue 15, April, 2016.
Richard Khoury,” Sentence Clustering Using Parts-of- Speech “, I.J. Information Engineering and Electronic Business, Feb 2012.
Prof. Kohei Arai,” Collaborative Question Answering System Using Domain Knowledge and Answer Quality Predictor”, I.J.Modern Education and Computer Science, Nov 2013.
Waheeb Ahmed et al,” Developing an Intelligent Question Answering System”, I.J. Education and Management Engineering, Nov 2017.