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A document corpus for evaluating an affective model (emption detection) for text.

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affective-models-corpora

This project is dedicated to the corpora described and evaluated in the paper:

@article{weichselbraun2020cogn,
  author = {Albert Weichselbraun and Jakob Steixner and Adrian M.P. Bra{\c{s}}oveanu and Arno Scharl and Max Gobel and  and Lyndon J.B. Nixon},
  title = {Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications},
  journal = {Cognitive Computation}, 
  publisher = {Springer},
  language = {english},
  year = {2020},
  volume = {12},
  number = {6},
  pages = {1-22}
  month = {december},
  date = {1-12},
}

Citation data will be updated when the article is published online.

ANNOTATION GUIDELINES

The guidelines offered to the annotators are available in PDF format.

CORPORA

The corpora is available in the TSV format. The fields have the following meaning:

ID - id of the sentence
SENTENCE - the content of the sentence/sentences
DOMINANT - the dominant emotion based on The Revisited Hourglass of Emotion model
AGREEMENT - a score of 0 or 1 - 1 indicates agreement and the fact that the sentence was used during experiments

LICENSE

Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

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A document corpus for evaluating an affective model (emption detection) for text.

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