Research of Network Hotspot Events Joint Extracting Based on BERT-CNN-CRF Model for Internet Public Opinion-Reference-Cited by-同舟云学术

Research of Network Hotspot Events Joint Extracting Based on BERT-CNN-CRF Model for Internet Public Opinion

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Advanced Information Science and System
language:
Short-container-title:

Author:

Liu Yang¹^ORCID

Affiliation:

1. Hunan University of Technology and Business, China

Funder

The Social Science Foundation Project of Hunan Provincial

The Key Project of Hunan Provincial Education Department

The Innovation Project of Hunan Graduate Scientific Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3573834.3574540

Reference19 articles.

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3. Topic mining and viewpoint recognition of different communicators in the transmission cycle of micro-blog public opinion;Haihan Liao;Library and Information Service,2018

4. Text Semantics Based Automatic Summarization for Chinese Video;Huang Wei;Data Analysis and Knowledge Discovery,2020

5. Q Li H Peng J Li and etal 2021. Deep Learning Schema-Based Event Extraction: Literature Review and Current Trends. http://arxiv.org/abs/2107.02126. ArXiv:2107.02126 (2021). Q Li H Peng J Li and et al. 2021. Deep Learning Schema-Based Event Extraction: Literature Review and Current Trends. http://arxiv.org/abs/2107.02126. ArXiv:2107.02126 (2021).