Skip to main content
WorldCist'18 - 6th World Conference on Information Systems and Technologies

Full Program »

Exploring Data Analytics of Data Variety

The Internet allows organizations managers access to large amounts of data, and this data are presented in different formats, i.e., data variety, namely structured, semi structured and unstructured. Based on the Internet, this da-ta variety is partly derived from social networks, but not only, machines are also capable of sharing information among themselves, or even machines with people. The objective of this paper is to understand how to retrieve in-formation from data analysis with data variety. An experiment was carried out, based on a dataset with two distinct data types, images and comments on cars. Techniques of data analysis were used, namely Natural Language Processing to identify patterns, and Sentimental and Emotional Analysis. The image recognition technique was used to associate a car model with a category. Next, OLAP cubes and their visualization through dashboards were created. This paper concludes that it is possible to extract a set of relevant in-formation, namely identifying which cars people like more/less, among other information.

Tiago Cruz
University of Minho
Portugal

Jorge Oliveira e Sá
University of Minho
Portugal

José Luís Pereira
University of Minho
Portugal

 

Powered by OpenConf®
Copyright ©2002-2017 Zakon Group LLC