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Technical Requirements For Knowledge Representation For Attitude Mining On A Realistic Scale
KTH, School of Computer Science and Communication (CSC), Theoretical Computer Science, TCS.ORCID iD: 0000-0003-4042-4919
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2012 (English)In: Proceedings of the Workshop on Reputation Management in Social Media at LREC’12, 2012Conference paper (Refereed)
Abstract [en]

To be useful, a reputation mining system must cover a broad range of weakly, vaguely, and implicitly expressed human sentiments andcannot in the absence of prior knowledge rely on sampling the data stream of human-generated text. To achieve coverage, a reputationmining system must be sensitive to variation and change in the signal. These requirements pose a challenge which are an instance ofmore general semantic processing – this paper presents some design requirements used to design and implement a semantic layer for aprocessing stack for human-generated information.

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Language Technology (Computational Linguistics)
URN: urn:nbn:se:kth:diva-116362OAI: diva2:589142
Workshop on Reputation Management in Social Media at LREC’12

QC 20130204

Available from: 2013-02-04 Created: 2013-01-17 Last updated: 2013-02-04Bibliographically approved

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Karlgren, JussiHamfors, Ola
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