Financial Sentiment Analysis Based on Pre-training and TextCNN-Reference-Cited by-同舟云学术

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Financial Sentiment Analysis Based on Pre-training and TextCNN

Published:2020-09-30 Issue: Volume: Page:48-56
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Yuan Xunpu,Li Yawen,Xue Zhe,Kou Feifei

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8458-9_6

Reference10 articles.

1. Poria, S., Chaturvedi, I., Cambria, E., et al.: Convolutional MKL based multimodal emotion recognition and sentiment analysis. In: 2016 IEEE 16th International Conference on Data Mining (ICDM), pp. 439–448. IEEE (2016)

2. Luo, L.: Network text sentiment analysis method combining LDA text representation and GRU-CNN. Pers. Ubiquit. Comput. 23(3–4), 405–412 (2019)

3. Lian, Z., Tao, J., Liu, B., et al.: Conversational Emotion Analysis via Attention Mechanisms. arXiv preprint arXiv:1910.11263 (2019)

4. Hu, C., Xue, W.: Bi-GRU text emotion analysis model based on attention mechanism. World Sci. Res. J. 5(9), 296–301 (2019)

5. Lim, W., Jang, D., Lee, T.: Speech emotion recognition using convolutional and recurrent neural networks. In: 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), pp. 1–4. IEEE (2016)

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