The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification
Open accessAbstract
We propose Adaptive Recursive Neural Network (AdaRNN) for target-dependent Twitter sentiment classification.AdaRNN adaptively propagates the sentiments of words to target depending on the context and syntactic relationships between them.It consists of more than one composition functions, and we model the adaptive sentiment propagations as distributions over these composition functions.The experimental studies illustrate that AdaRNN improves the baseline methods.Furthermore, we introduce a manually annotated dataset for target-dependent Twitter sentiment analysis.
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Attention-based LSTM for Aspect-level Sentiment Classification
Wang, Y., Huang, M., zhu, X., & Zhao, L. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d16-1058 · Cited by 2,450
Interactive Attention Networks for Aspect-Level Sentiment Classification
Ma, D., Li, S., Zhang, X., & Wang, H. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2017/568 · Cited by 1,069
Aspect Level Sentiment Classification with Deep Memory Network
Tang, D., Qin, B., & Liu, T. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d16-1021 · Cited by 1,041
Self-citationImproving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN
Chen, T., Xu, R., He, Y., & Wang, X. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.10.065 · Cited by 730
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Wang, K., Shen, W., Yang, Y., Quan, X., & Wang, R. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.295 · Cited by 665
Metadata
- Authors
- Dong, L., Wei, F., Tan, C., Tang, D., Zhou, M., & Xu, K.
- Venue
- Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Published
- 2014
- Pages
- 49-54
- OpenAlex
- W2251124635
- Cited by
- 1,074
- References
- 20
- FWCI
- 16.60
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- Dong, L., Wei, F., Tan, C., Tang, D., Zhou, M., & Xu, K. (2014). Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). https://doi.org/10.3115/v1/p14-2009
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