The DOI matches its OpenAlex record; 1 of the 1 references it cites were found in a registry or an index.
WordNet Affect: an Affective Extension of WordNet
Open accessAbstract
In this paper we present a linguistic resource for the lexical representation of affective knowledge.This resource (named WORDNET-AFFECT) was developed starting from WORDNET, through a selection and tagging of a subset of synsets representing the affective meanings.
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Cites
The Cognitive Structure of Emotions
Ortony, A., Clore, G. L., & Collins, A. (1988) · doi:10.1017/cbo9780511571299 · Cited by 6,208
Cited by
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
Calvo, R. A., & D'Mello, S. (2010) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2010.1 · Cited by 1,893
A review of affective computing: From unimodal analysis to multimodal fusion
Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017) · Information Fusion · doi:10.1016/j.inffus.2017.02.003 · Cited by 1,644
Sentiment strength detection for the social web
Thelwall, M., Buckley, K., & Paltoglou, G. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21662 · Cited by 1,062
The representation of abstract words: Why emotion matters.
Kousta, S.-T., Vigliocco, G., Vinson, D. P., Andrews, M., & Del Campo, E. (2011) · Journal of Experimental Psychology: General · doi:10.1037/a0021446 · Cited by 894
A review on sentiment analysis and emotion detection from text
Nandwani, P., & Verma, R. (2021) · Social Network Analysis and Mining · doi:10.1007/s13278-021-00776-6 · Cited by 869
Metadata
- Authors
- Strapparava, C., & Valitutti, A.
- Venue
- Language Resources and Evaluation Conference (LREC)
- Published
- 2004-05-01
- OpenAlex
- W2404480901
- Cited by
- 1,384
- References
- 1
- FWCI
- 4.77
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- Strapparava, C., & Valitutti, A. (2004). WordNet Affect: an Affective Extension of WordNet. Language Resources and Evaluation Conference (LREC). https://doi.org/10.63317/2yctm9q26ar4
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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.
