A review on sentiment analysis and emotion detection from text
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-021-00776-6.pdf
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3. Adoma AF, Henry N-M, Chen W (2020) Comparative analyses of bert, roberta, distilbert, and xlnet for text-based emotion recognition. In: 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), IEEE, pp 117–121. https://doi.org/10.1109/ICCWAMTIP51612.2020.9317379
4. Agbehadji IE, Ijabadeniyi A (2021) Approach to sentiment analysis and business communication on social media. In: Fong S, Millham R (eds) Bio-inspired algorithms for data streaming and visualization, big data management, and fog computing, Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-15-6695-0_9
5. Agrawal A, An A (2012) Unsupervised emotion detection from text using semantic and syntactic relations. In: 2012 IEEE/WIC/ACM international conferences on web intelligence and intelligent agent technology, pp 346–353. https://doi.org/10.1109/WI-IAT.2012.170.
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