Sentiment Analysis Based On Deep Residual Bidirectional Gated Recurrent Unit Neural Networks

Xiang, Yu; An, Dong; Zhang, Yaping

doi:10.1109/cisp-bmei56279.2022.9979866

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2023

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“…Therefore, the source of our corpus is determined to be the Weibo platform. We chose simplifyweibo_4_moods (https://github.com/SophonPlus/ChineseNlpCorpus, accessed on 2 February 2019) as the base corpus, which is commonly used for emotion classification tasks [29][30][31][32]. The overall pre-processing process is as follows.…”

Section: Corpus Selectionmentioning

confidence: 99%

An Entropy-Based Method with a New Benchmark Dataset for Chinese Textual Affective Structure Analysis

Xiong

Fan

Batra

et al. 2023

Entropy

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Affective understanding of language is an important research focus in artificial intelligence. The large-scale annotated datasets of Chinese textual affective structure (CTAS) are the foundation for subsequent higher-level analysis of documents. However, there are very few published datasets for CTAS. This paper introduces a new benchmark dataset for the task of CTAS to promote development in this research direction. Specifically, our benchmark is a CTAS dataset with the following advantages: (a) it is Weibo-based, which is the most popular Chinese social media platform used by the public to express their opinions; (b) it includes the most comprehensive affective structure labels at present; and (c) we propose a maximum entropy Markov model that incorporates neural network features and experimentally demonstrate that it outperforms the two baseline models.

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Section: Corpus Selectionmentioning

confidence: 99%