Accurate use of label dependency in multi-label text classification through the lens of causality
Author:
Funder
Shanghai Municipal Science and Technology Major Project
Shanghai Science and Technology Innovation Action Plan
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04623-3.pdf
Reference53 articles.
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2. Wang S, Cai J, Lin Q et al (2019) An overview of unsupervised deep feature representation for text categorization. IEEE Trans Comput Soc Syst 6(3):504–517. https://doi.org/10.1109/TCSS.2019.2910599
3. Wankhade M, Rao ACS, Kulkarni C (2022) A survey on sentiment analysis methods, applications, and challenges. Artif Intell Rev 55(7):5731–5780. https://doi.org/10.1007/s10462-022-10144-1
4. 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
5. Boutell MR, Luo J, Shen X et al (2004) Learning multi-label scene classification. Pattern Recognit 37(9):1757–1771. https://doi.org/10.1016/j.patcog.2004.03.009
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