ScrAnViz — A tool to scrap, analyze and visualize unstructured-data using attribute-based opinion mining algorithm
K. Sriraghav, Sriharsha Jayanthi, N L Vidya, V. S. Felix Enigo · 2017 Innovations in Power and Advanced Computing Technologies (i-PACT) · 2017
Data visualization in big data analysis, facilitates decision makers to see analytics visually represented, that empowers them to understand difficult concepts or identify new patterns effortlessly. Existing visualization tools are capable of visualizing only structured data, but more than 80% of business information is in unstructured format. Hence there is a need for an end-to-end tool that could structure, summarize and visualize Unstructured-Data. With this notion, a flexible tool is being developed that could be applied to any domain accepting the domain-specific and user-specific attributes as inputs and plot graphs accordingly. The Unstructured-Data is obtained by web mining. Further, an effective attribute-based opinion mining algorithm has been proposed which enables the user to make well-informed decisions focusing on the attributes he is concerned most.