Transformer models for text-based emotion detection: a review of BERT-based approaches

Author:

Acheampong Francisca Adoma,Nunoo-Mensah HenryORCID,Chen Wenyu

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference107 articles.

1. Acheampong FA, Wenyu C, Nunoo-Mensah H (2020) Text-based emotion detection: Advances, challenges, and opportunities. Engineering Reports e12189

2. Akbik A, Blythe D, Vollgraf R (2018) Contextual string embeddings for sequence labeling. In: Proceedings of the 27th international conference on computational linguistics, pp 1638–1649

3. Akhtar MS, Ekbal A, Cambria E (2020) How intense are you? predicting intensities of emotions and sentiments using stacked ensemble. IEEE Comput Intell Mag 15(1):64–75

4. Al-Rfou R, Choe D, Constant N, Guo M, Jones L (2019) Character-level language modeling with deeper self-attention. Proc AAAI Conf Artif Intell 33:3159–3166

5. Baccianella S, Esuli A, Sebastiani F (2010) Sentiwordnet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. Lrec 10:2200–2204

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