Twitter Sentiment Analysis in Resource Limited Language
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58502-9_3
Reference14 articles.
1. Antypas, D., Preece, A., Camacho-Collados, J.: Negativity spreads faster: a large-scale multilingual twitter analysis on the role of sentiment in political communication. Online Soc. Netw. Media 33, 100242 (2023)
2. Barriere, V., Balahur, A.: Improving sentiment analysis over non-English tweets using multilingual transformers and automatic translation for data-augmentation. arXiv preprint arXiv:2010.03486 (2020)
3. Bello, A., Ng, S.-C., Leung, M.-F.: A BERT framework to sentiment analysis of tweets. Sensors 23(1), 506 (2023)
4. Guven, Z.A.: Comparison of BERT models and machine learning methods for sentiment analysis on Turkish tweets. In: 2021 6th International Conference on Computer Science and Engineering (UBMK), pp. 98–101. IEEE (2021)
5. Islam, K.I., Islam, M.S., Amin, M.R.: Sentiment analysis in Bengali via transfer learning using multi-lingual BERT. In: 2020 23rd International Conference on Computer and Information Technology (ICCIT), pp. 1–5. IEEE (2020)
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