TextSumIt: a Semantic Single Document Summarization Model on Android Mobile Device

Abstract:

The explosion of information in the World Wide Web is overwhelming for readers with limitless information. Large internet articles or journals are often cumbersome to read as well as comprehend. More often than not, readers are immersed in a pool of information with limited time to assimilate all of the articles. As technology advances, it becomes more convenient to access information on-the-go, i.e., portability of information by utilizing mobile devices. In this research, a semantic and syntatic based summarization is implemented in a text summarizer to solve the information overload problem whilst providing a more coherent summary. The objective is to integrate WordNet into the proposed system aka TextSumIt which condenses lengthy documents into summarized text. The empirical experiments show that it produces satisfactory preliminary results on Android mobile phones.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 1902-1909
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.1902
• Online since: December 2012
• Authors: Oi Mean Foong, Mellissa Lee
• Keywords: Mobile Device, Semantic, Sentence Score Algorithm, Text Summarization, Wordnet

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