Annotated Test data for the German Sentiment Analysis Shared Task 2: Subjective Phrase and Aspect Extraction from Product Reviews

Klinger R (2014) : Bielefeld University. doi:10.4119/unibi/2695161.

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GESTALT: GErman SenTiment AnaLysis shared Task 2 addressed Subjective Phrase and Aspect Extraction (StAR) from product reviews. As training data, the USAGE data set was used dx.doi.org/10.4119/unibi/citec.2014.14. More information can be found here: https://sites.google.com/site/iggsasharedtask
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This Annotated Test data for the German Sentiment Analysis Shared Task 2: Subjective Phrase and Aspect Extraction from Product Reviews is made available under the Open Data Commons Attribution License: http://opendatacommons.org/licenses/by/1.0
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Klinger R. (2014): Annotated Test data for the German Sentiment Analysis Shared Task 2: Subjective Phrase and Aspect Extraction from Product Reviews. Bielefeld University. doi:10.4119/unibi/2695161.
Klinger, R. (2014). Annotated Test data for the German Sentiment Analysis Shared Task 2: Subjective Phrase and Aspect Extraction from Product Reviews. Bielefeld University. doi:10.4119/unibi/2695161
Klinger, R. (2014). Annotated Test data for the German Sentiment Analysis Shared Task 2: Subjective Phrase and Aspect Extraction from Product Reviews. Bielefeld University. doi:10.4119/unibi/2695161.
Klinger, R., 2014. Annotated Test data for the German Sentiment Analysis Shared Task 2: Subjective Phrase and Aspect Extraction from Product Reviews. Bielefeld University. doi:10.4119/unibi/2695161
R. Klinger, Annotated Test data for the German Sentiment Analysis Shared Task 2: Subjective Phrase and Aspect Extraction from Product Reviews. Bielefeld University, 2014. doi:10.4119/unibi/2695161.
Klinger, R.: Annotated Test data for the German Sentiment Analysis Shared Task 2: Subjective Phrase and Aspect Extraction from Product Reviews. Bielefeld University (2014). doi:10.4119/unibi/2695161.
Klinger, Roman. Annotated Test data for the German Sentiment Analysis Shared Task 2: Subjective Phrase and Aspect Extraction from Product Reviews. Bielefeld University, 2014. doi:10.4119/unibi/2695161
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2014-09-15T18:59:23Z

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