- Title
- Automated opinion detection : Implications of the level of agreement between human raters
- Creator
- Osman, Deanna; Yearwood, John; Vamplew, Peter
- Date
- 2010
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/58187
- Identifier
- vital:2874
- Identifier
-
https://doi.org/10.1016/j.ipm.2009.08.005
- Identifier
- ISSN:0306-4573
- Abstract
- The ability to agree with the TREC Blog06 opinion assessments was measured for seven human assessors and compared with the submitted results of the Blog06 participants. The assessors achieved a fair level of agreement between their assessments, although the range between the assessors was large. It is recommended that multiple assessors are used to assess opinion data, or a pre-test of assessors is completed to remove the most dissenting assessors from a pool of assessors prior to the assessment process. The possibility of inconsistent assessments in a corpus also raises concerns about training data for an automated opinion detection system (AODS), so a further recommendation is that AODS training data be assembled from a variety of sources. This paper establishes an aspirational value for an AODS by determining the level of agreement achievable by human assessors when assessing the existence of an opinion on a given topic. Knowing the level of agreement amongst humans is important because it sets an upper bound on the expected performance of AODS. While the AODSs surveyed achieved satisfactory results, none achieved a result close to the upper bound. © 2009 Elsevier Ltd. All rights reserved.
- Publisher
- Elsevier
- Relation
- Information Processing and Management Vol. 46, no. 3 (2010), p. 331-342
- Rights
- Copyright Elsevier
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0806 Information Systems; 0807 Library and Information Studies; Blog06; Inter-rater agreement; Opinion detection
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