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Extrinsic Evaluation of Topic Models on Unknown Corpora

Schnober, Carsten and Gurevych, Iryna (2015):
Extrinsic Evaluation of Topic Models on Unknown Corpora.
[Online-Edition: https://dariah-tda.github.io/assets/cfp/evaluating_tms.pdf],
[Other]

Abstract

We are presenting our practical experiences from using information retrieval (IR) as an extrinsic task for which, amongst many others, LDA can be applied (Wei et al., 2006). This allows us to use established evaluation metrics, precision and recall, in a realistic use case. We assume that a model that performs well on IR fits related tasks as well.

Item Type: Other
Erschienen: 2015
Creators: Schnober, Carsten and Gurevych, Iryna
Title: Extrinsic Evaluation of Topic Models on Unknown Corpora
Language: English
Abstract:

We are presenting our practical experiences from using information retrieval (IR) as an extrinsic task for which, amongst many others, LDA can be applied (Wei et al., 2006). This allows us to use established evaluation metrics, precision and recall, in a realistic use case. We assume that a model that performs well on IR fits related tasks as well.

Uncontrolled Keywords: reviewed;UKP_p_WeltDerKinder;UKP_reviewed;Topic Model, LDA, Corpus Exploration, Evaluation
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Location: Dublin, Ireland
Date Deposited: 31 Dec 2016 14:29
Official URL: https://dariah-tda.github.io/assets/cfp/evaluating_tms.pdf
Identification Number: TUD-CS-2015-1313
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