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An Integration Module for Mining Textual and Visual Social Media Data

Authors:
Mohammed Ali Eltaher

Keywords: social media mining; content based integration; semantic based integration.

Abstract:
In social media networks, visual data, such as images, co-exist with text or other modalities of information. In order to benefit from different data modalities, further research is obligatory. This paper introduces the first step towards an integration module, which is based on visual and textual data available in social media. We utilized tags and images of users with a novel approach of information fusion in order to enhance the social user mining. Here, two different approaches were applied to enhance social user mining: (1) content based image fusion, and (2) semantic based image fusion. Our approaches were applied to a gender classification mining application and showed the performance of our methods to discover unknown knowledge about user.

Pages: 85 to 90

Copyright: Copyright (c) IARIA, 2018

Publication date: November 18, 2018

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-681-1

Location: Athens, Greece

Dates: from November 18, 2018 to November 22, 2018