A Comparative Study of Text Summarization Based on Synchronous and Asynchronous PSO

R. Pallavi Reddy, Kalyani Nara, S. Sravani Reddy

Text Summarization, particle swarm optimization, Synchronous PSO (S-PSO), Asynchronous PSO (A-PSO).

Text summarization is the process of extracting the most important sentences from the original document without its meaning change. The paper focus on Extractive summarization technique which chooses the important sentences from the document and integrates into summary. An extractive summarization technique, Particle swarm Optimization performs arithmetic operations that enhances a problem, by iteratively trying to improve possible solution with regard to input data. It determines a problem by having a population of possible solutions moving around the search space according to arithmetic formulae over the particles position and velocity. The sequence of modernized particles of PSO can be categorized into Synchronous PSO (S-PSO) and Asynchronous PSO(A-PSO). In synchronous PSO, after calculating the whole performance, velocities and positions of the particles are modernized, this increases the performance. In A-PSO after calculating its performance, velocities and positions of the particles are modernized using partial data which leads to extreme analysis. The comparative study on the synchronous PSO and asynchronous PSO with the precision and recall values for different datasets is considered. Asynchronous PSO has higher precision and recall values compared to synchronous PSO. Asynchronous PSO leads to extreme analysis of data.

10.22161/ijaers/3.11.22