Semantic Space Models for Profiling Reputation of Corporate Entities
نویسندگان
چکیده
Gavagai used its commercially available system for the filtering and polarity tasks in the evaluation campaign for online reputation management systems at CLEF 2013. The system is built for large scale analysis of streaming text and as part of the services Gavagai provides, it measures the public attitude visavi targets of interest. This mechanism — with no adjustment for this specific task — was used for polarisation and the experiments performed this year was to test a number of settings for testing how an attitude might be learned from the data rather than given by editorial intervention.
منابع مشابه
Profiling Reputation of Corporate Entities in Semantic Space
Gavagai used its first-generation baseline system for the profiling task for evaluation campaign for online reputation management systems of CLEF 2012. The system builds on large scale analysis of streaming text and performed excellently on this task with standard settings. 1 Profiling corporate reputation in streaming online data The profiling task was defined to be based on real data, using a...
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