A multichannel embedding and arithmetic optimized stacked Bi-GRU model with semantic attention to detect emotion over text data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03907-4.pdf
Reference54 articles.
1. Suhasini M, Srinivasu B (2020) Emotion detection framework for twitter data using supervised classifiers. In: Data engineering and communication technology, pp 565–576. https://doi.org/10.1007/978-981-15-1097-7_47
2. Shoumy NJ, Ang LM, Seng KP, Rahaman DM, Zia T (2020) Multimodal big data affective analytics: a comprehensive survey using text, audio, visual and physiological signals. J Netw Comput Appl 149:102447. https://doi.org/10.1016/j.jnca.2019.102447
3. Alswaidan N, Menai MEB (2020) A survey of state-of-the-art approaches for emotion recognition in text. Knowl Inf Syst 62(8):2937–2987. https://doi.org/10.1007/s10115-020-01449-0
4. Kušen E, Strembeck M, Conti M (2018) Emotional valence shifts and user behavior on Twitter, Facebook, and YouTube. In: IEEE/ACM international conference on advances in social networks analysis and mining, pp 63–83. https://doi.org/10.1007/978-3-030-02592-2_4
5. Shaukat Z, Zulfiqar AA, Xiao C, Azeem M, Mahmood M (2020) Sentiment analysis on IMDB using lexicon and neural networks. SN Appl Sci 2(2):1–10. https://doi.org/10.1007/s42452-019-1926-x
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