Automatic summarizer for mobile devices using sentence ranking measure

The modern digital world is immersed in tons of information in the form of electronic documents. To overcome the consequences of system failure, the fault tolerance system uses redundant information too. While surfing in the mobile devices, since they have small display screen. The mobile users prefer to analyse the summarized report, if it is relevant to their requirement, the user may observe it deeper. However, it is difficult to manually summarize the large documents of text. Sentence level clustering can be employed to perform automatic summarization task. The proposed work computes the centroid sentence of each cluster to automatically generate the summary which in turn reduces the manual processing. The integration of automatic summarization process to mobile devices is deployed android mobile application development interface. Experimental evaluation on the sample dataset shows that the clustering algorithm is more effective in retrieval of summarized content in mobile devices.