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Standardised Reputation Measurement

Mitic, Peter; (2017) Standardised Reputation Measurement. In: Yin, Hujun and Gao, Yang and Chen, Songcan and Wen, Yimin and Cai, Guoyong and Gu, Tianlong and Du, Junping and Tallon-Ballesteros, Antonio J and Zhang, Minling, (eds.) Intelligent Data Engineering and Automated Learning – IDEAL 2017. (pp. pp. 534-542). Springer Publishing: Cham, Switzerland. Green open access

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Abstract

Well-defined formal definitions for sentiment and opinion are extended to incorporate the necessary elements to provide a formal quantitative definition of reputation. This definition takes the form of a time-based index, in which each element is a function of a collection of opinions mined during a given time period. The resulting formal definition is validated against informal notions of reputation. Practical aspects of data procurement to support such a reputation index are discussed. The assumption that all mined opinions comprise a complete set is questioned. A case is made that unexpressed positive sentiment exists, and can be quantified.

Type: Proceedings paper
Title: Standardised Reputation Measurement
Event: International Conference on Intelligent Data Engineering and Automated Learning: IDEAL 2017
ISBN-13: 978-3-319-68934-0
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-68935-7_58
Publisher version: https://doi.org/10.1007/978-3-319-68935-7_58
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use please refer to the publisher's terms and conditions.
Keywords: Reputation; Reputation index; Reputation definition; Opinion; Unexpressed positive sentiment
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10179251
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