Title: ScrAnViz: a tool for analytics and visualisation of unstructured data

Authors: Sriraghav Kameswaran; V.S. Felix Enigo

Addresses: SSN College of Engineering, Chennai, India ' SSN College of Engineering, Chennai, India

Abstract: Existing big data visualisation tools are meant for visualising structured data. But survey shows that about 80-90% of potentially usable business information is in unstructured format. Analysing unstructured data is challenging due to lack of structure and relational form. In this paper, we have proposed a tool called ScrAnViz that can structure data, perform analysis and provide visualisation thereby helps in decision making for business people and end users. An attribute based opinion mining algorithm has been developed and implemented. Performance analysis shows that the algorithm has reduced the search time by three times than the traditional document level sentiment analysis systems.

Keywords: unstructured data; data analytics; sentiment analysis; opinion mining; data visualisation.

DOI: 10.1504/IJBIDM.2020.108769

International Journal of Business Intelligence and Data Mining, 2020 Vol.17 No.2, pp.179 - 192

Received: 17 Jul 2017
Accepted: 21 Jan 2018

Published online: 03 Aug 2020 *

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