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Repository: silver standard quantified (simple) noun phrases 43,842 positive (+), negative (-) or neutral (0) NPs, e.g. "ein notorischer Verführer -5.625" is highly negative (-5.625) see References LREC for a description of the data Format: tsv References: @inproceedings{LREC, month = {Juni}, author = {Manfred Klenner and Anne G{\"o}hring}, booktitle = {Proceedings of the Language Resources and Evaluation Conference}, address = {Marseille, France}, title = {Animacy Denoting {G}erman Nouns: Annotation and Classification}, publisher = {European Language Resources Association}, pages = {1360--1364}, year = {2022}, language = {english}, url = {https://doi.org/10.5167/uzh-219148}, abstract = {In this paper, we introduce a gold standard for animacy detection comprising almost 14,500 German nouns that might be used to denote either animate entities or non-animate entities. We present inter-annotator agreement of our crowd-sourced seed annotations (9,000 nouns) and discuss the results of machine learning models applied to this data.} }
sentiment analysis, polarity quantification, polarity strengh
sentiment analysis, polarity quantification, polarity strengh
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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