Aspect-Based Text Summarization Using MapReduce Optimization

Aspect-based summarization techniques require improvement in accuracy of the generated summaries. These systems show significant role in the analysis of web review contents. Also they are useful to analyse the reviews in the web which increases drastically day by day. So the generated summary representing the entire review in a concise manner for each feature or aspect in the reviews would be useful for users. An overview about aspect-based summarization system is provided along with the proposed MapReduce based on node optimization algorithm. The system uses MapReduce framework and an in-node mapper, reducer algorithm is devised for generating summaries. The accuracy of the system-generated summary is better than existing MapReduce-based summarization systems.