Developing a graph-based system for storing, exploiting and visualizing text stream

In an era of information explosion, collecting and exploiting information automatically is very essential so that many studies have proposed models for solving storage problems and supporting efficient data processing. In this paper, we propose a system based on graph that can store, exploit and visualize text streams. This model first gathers daily articles automatically from Vietnamese online journals. After articles are collected, keywords' frequency of existence is calculated to rank the importance of keywords, finding worthy topics and tracking the changes in pertinent topics. In addition, our system supports users to search and create statistical maps to visually display their data. We also perform the system testing and evaluation to show its performance, estimate its responding time and find out how to improve it in the future.