Abstract
This paper presents a text summarization in Android mobile devices. With the proliferation of small screen devices and advancement of mobile technology, the text summarization research has been inspired by the new paradigm shift in accessing information ubiquitously at anytime, anywhere and anyway on mobile devices. However, it is a challenge to browse large documents in a mobile device because of its small screen size and information overload problems. In this paper, a semantic and syntactic based summarization was attempted and implemented in a text summarizer. The objectives of the paper are two-fold. (1) To integrate WordNet 3.1 into the proposed system called TextSumIt which condenses single lengthy document into shorter summarized text. (2) To provide better readability to Android mobile users by displaying the salient ideas in bullets points. Documents were collected from DUC 2002 and Reuter news datasets. Experimental results show that the text summarization model improves the accuracy, readability and time saving in the text summarizer as compared with MS Word AutoSummarize.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Yang, C. C., Wang, F. L.: An Information Delivery System with Automatic Summarization for Mobile Commerce. Decision Support Systems, 43(1), pp. 46–61, Elsevier (2007)
Mani, I.: Recent Developments in Text Summarization. In: Proceedings of the tenth International Conference on Information and Knowledge Management, CIKM, New York (2001)
Luhn, H.P.: The Automatic Creation of Literature Abstracts. IBM Journal, pp. 159-165 (1958)
Abuobieda, A., Salim, A., Albaham, N., Osman, A.T., Kumar, Y.J.: Text Summarization Features Selection Method using Pseudo Genetic-based Model. In: Proceedings International Conference on Information Retrieval Knowledge Management, pp.193-197. (2012)
Binwahlan, M.S., Naomie, S., Suanmali, L.: Fuzzy Swarm Diversity Hybrid Model for Text Summarization. Information Processing and Management, vol. 46, pp. 571-588. (2010)
Baxendale, P.: Machine-made Index for Technical Literature - An Experiment. IBM Journal of Research Developmen 2(4), (1958)
Edmundson, H.P.: New Methods in Automatic Extracting. Journal of the ACM, 16(2), pp. 264-285, New Work (1969)
Miranda-Jimunez, S., Gelbukh, A., Sidorov, G.: Summarizing Conceptual Graphs for Automatic Summarization Task. LNAI 7735, pp. 245-253, Springer-Verlag Berlin Heidelberg (2013)
Tonelli, S., Planta, M.: Matching Documents and Summaries uses Key-Concepts. In: Proceedings of the French Text Mining and Evaluation Workshop, pp. 1-6 (2011)
Saggion, H., Poibeau, T.: Automatic Text Summarization: Past, Present and Future. Multi-source, Multilingual Information Extraction and summarization II, Natural Language Processing, pp. 3-21, Springer-Verlag Berlin Heidelberg (2013)
Foong, O. M., Oxley, A., Sulaiman, S.: Challenges and Trends of Automatic Text Summarization. International Journal of Information and Telecommunicationi Technology 1(1), pp. 34-39 (2010)
Gupta, V. : A Survey of Text Summarization Extractive Techniques. Journal of Emerging Technologies in Web Intelligence 2(3), pp. 258-268. (2010)
Jusoh, S., Fawareh, H.M.: Semantic Extraction From Texts. In Proceedings of International Conference on Computer Engineering and Applications IPCSIT (2011)
WordNet, http://wordnet.princeton.edu
Foong, O.M., Lee, M. : TextSumIt: A Semantic Single Document Summarization Model on Android Mobile Devices. Applied Mechanics & Materials(263-266), IT Applications in Industry, pp. 1902-1909. (2012)
Yu, L., Duan, X., Tian, S., Guo, H.: Topic Extraction based on Product Reviews. Journal of Computational Information System, 9(2), pp. 773-780 (2013)
Foong, O.M., Oxley,A.: A Hybrid PSO Model in Extractive Text Summarizer.In Proceeding IEEE Symposium on Computers & Informatics, pp.130-134 (2011)
Barrera, A., Verma, R.: Combining Syntax and Semantics for Automatic Extractive Single-Document Summarization. In: Proceeding CICLing’12 of the 13th international conference on Computational Linguistics and Intelligent Text Processing, vol. Part II, pp. 366-377 (2012)
Lin, C.-Y.: ROUGE: A Package for Automatic Evaluation of Summaries. In: Proceedings of Workshop on Text Summarization Post-Conference Workshop (ACL 2004), Barcelona, Spain (2004)
Acknowledgments
We would like to thank Research and Innovation Office (RIO) for the support in the research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Singapore
About this paper
Cite this paper
Foong, OM., Yong, SP., Lee, AL. (2014). Text Summarization in Android Mobile Devices. In: Herawan, T., Deris, M., Abawajy, J. (eds) Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). Lecture Notes in Electrical Engineering, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-4585-18-7_64
Download citation
DOI: https://doi.org/10.1007/978-981-4585-18-7_64
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-4585-17-0
Online ISBN: 978-981-4585-18-7
eBook Packages: EngineeringEngineering (R0)