A deep learning framework for sarcastic sentiment classification in opinion polls
Author:
Publisher
Springer Science and Business Media LLC
Subject
Development,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s42488-023-00107-8.pdf
Reference29 articles.
1. Agarwal B, Mittal N, Bansal P, Garg S (2015) Sentiment analysis using common-sense and context information. Comput Intell Neurosci 2015:1–9. https://doi.org/10.1155/2015/715730
2. Ayata D, Saraclar M, Özgür A (2017) Political opinion/sentiment prediction via long short term memory recurrent neural networks on Twitter. In: 2017 25th Signal Processing and Communications Applications Conference (SIU). IEEE, pp 1–4. https://doi.org/10.1109/SIU.2017.7960733
3. Bhan N, D’Silva M (2018) Sarcasmometer using sentiment analysis and topic modeling. Int. Conf. Adv. Comput. Commun. Control 2017, ICAC3 2017, vol. 2018-Janua, pp 1–6. https://doi.org/10.1109/ICAC3.2017.8318782
4. Bouazizi M, Ohtsuki T (2015) Opinion mining in twitter how to make use of sarcasm to enhance sentiment analysis. 2015 IEEE/ACM Int. Conf. Adv. Soc. Networks Anal. Min., pp 1594–1597. https://doi.org/10.1145/2808797.2809350
5. Hevner AR (2007) A three cycle view of design science research a three cycle view of design science research. Scand J Inf Syst 19(2):4
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