Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas

Maximilian Köper; Sabine Schulte im Walde

Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas

Maximilian Köper, Sabine Schulte im Walde

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Abstract

This paper presents a collection of 350,000 German lemmatised words, rated on four psycholinguistic affective attributes. All ratings were obtained via a supervised learning algorithm that can automatically calculate a numerical rating of a word. We applied this algorithm to abstractness, arousal, imageability and valence. Comparison with human ratings reveals high correlation across all rating types. The full resource is publically available at: http://www.ims.uni-stuttgart.de/data/affective_norms/

Anthology ID:: L16-1413
Volume:: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:: May
Year:: 2016
Address:: Portorož, Slovenia
Editors:: Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association (ELRA)
Note:
Pages:: 2595–2598
Language:
URL:: https://aclanthology.org/L16-1413/
DOI:
Bibkey:
Cite (ACL):: Maximilian Köper and Sabine Schulte im Walde. 2016. Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2595–2598, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):: Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas (Köper & Schulte im Walde, LREC 2016)
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PDF:: https://aclanthology.org/L16-1413.pdf

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@inproceedings{koper-schulte-im-walde-2016-automatically,
    title = "Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 {G}erman Lemmas",
    author = {K{\"o}per, Maximilian  and
      Schulte im Walde, Sabine},
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Grobelnik, Marko  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, Helene  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
    month = may,
    year = "2016",
    address = "Portoro{\v{z}}, Slovenia",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L16-1413/",
    pages = "2595--2598",
    abstract = "This paper presents a collection of 350,000 German lemmatised words, rated on four psycholinguistic affective attributes. All ratings were obtained via a supervised learning algorithm that can automatically calculate a numerical rating of a word. We applied this algorithm to abstractness, arousal, imageability and valence. Comparison with human ratings reveals high correlation across all rating types. The full resource is publically available at: \url{http://www.ims.uni-stuttgart.de/data/affective_norms/}"
}

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%0 Conference Proceedings
%T Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas
%A Köper, Maximilian
%A Schulte im Walde, Sabine
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F koper-schulte-im-walde-2016-automatically
%X This paper presents a collection of 350,000 German lemmatised words, rated on four psycholinguistic affective attributes. All ratings were obtained via a supervised learning algorithm that can automatically calculate a numerical rating of a word. We applied this algorithm to abstractness, arousal, imageability and valence. Comparison with human ratings reveals high correlation across all rating types. The full resource is publically available at: http://www.ims.uni-stuttgart.de/data/affective_norms/
%U https://aclanthology.org/L16-1413/
%P 2595-2598

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Markdown (Informal)

[Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas](https://aclanthology.org/L16-1413/) (Köper & Schulte im Walde, LREC 2016)

Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas (Köper & Schulte im Walde, LREC 2016)

ACL

Maximilian Köper and Sabine Schulte im Walde. 2016. Automatically Generated Affective Norms of Abstractness, Arousal, Imageability and Valence for 350 000 German Lemmas. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2595–2598, Portorož, Slovenia. European Language Resources Association (ELRA).