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SemEval-2007 task 14: affective text

Open access
Strapparava, Carlo, Mihalcea, Rada·2007·Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07

Abstract

The "Affective Text" task focuses on the classification of emotions and valence (positive/negative polarity) in news headlines, and is meant as an exploration of the connection between emotions and lexical semantics. In this paper, we describe the data set used in the evaluation and the results obtained by the participating systems.

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Metadata

Authors
Strapparava, C., & Mihalcea, R.
Venue
Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07
Published
2007
Pages
70-74
OpenAlex
W2105468141
Cited by
602
References
1
FWCI
11.28
Type
conference paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: SemEval-2007 task 14: affective text. https://app.cochat.ai/papers/10.3115/1621474.1621487
The paper
Strapparava, C., & Mihalcea, R. (2007). SemEval-2007 task 14: affective text. Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07. https://doi.org/10.3115/1621474.1621487

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.