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Towards a Framework for Social Semiotic Mining

Published: 02 June 2014 Publication History

Abstract

Although the theory of semiotics arguably has ancient beginnings and came to the forefront with the seminal work of Pierce in the 20th century, and despite the growth of social media and the direct relevance of semiotics, no framework has so far been provided, which not only enables the re-examination of social content and tagging under the light of semiotics, but can also be used to analyze data mining and clustering algorithms utilized on social data. We provide the motivation and the outline of such a framework in the paper, and demonstrate how it can be applied not only in order to analyze specific algorithms, but also in order to structure the general space of potential algorithms for clustering data derived from social media.

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WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)
June 2014
506 pages
ISBN:9781450325387
DOI:10.1145/2611040
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • Aristotle University of Thessaloniki

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Published: 02 June 2014

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  1. Data Mining
  2. Semiotics
  3. Social Media

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WIMS '14 Paper Acceptance Rate 41 of 90 submissions, 46%;
Overall Acceptance Rate 140 of 278 submissions, 50%

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