Microblog Sentiment Analysis Based on Dynamic Character-Level and Word-Level Features and Multi-Head Self-Attention Pooling

Yan, Shangyi; Wang, Jingya; Song, Zhiqiang

doi:10.3390/fi14080234

Cited by 6 publications

(2 citation statements)

References 33 publications

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“…For example, the advanced Internet public health publicity model enables the public to grasp the basic information and prevention methods of COVID-19 [20]. The wide application of new mobile media devices enables the public to easily access information propagated by the government and express their views and emotions [21,22], Weibo ("Facebook in China") also served as a tool and mainstream media for the government to publicize public policies on COVID-19 prevention and control [23].…”

Section: Introductionmentioning

confidence: 99%

Publicity governance in contingency management during the COVID-19 pandemic in China: A “Government-Society” perspective

Wang,

Peng

2023

PLoS ONE

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Background Publicity is a common form of governance in government and is even more important in contingency management, especially during the COVID-19 pandemic. Publicity has two sides, the main body of publicity is led by the government, the object of publicity is the response to the public. So, publicity exists in the "government-society" field. Our aim was to find out how governments have been able to achieve effective publicity in the COVID-19 and to promote the active participation of society in governance. Materials and methods We adopted a case study approach. Taking Chongqing Municipality as an example, we collected 201 messages from five forms of publicity, including cell phone SMS, village (community) broadcast, publicity placards or banners, official websites, and government media platforms during the period of 2020–2021, and described and analyzed the publicity content of different forms of publicity. Results During the whole period of the COVID-19, the publicity governance under contingency management showed the characteristics of focusing on administrative efficiency, social efficiency and post-social efficiency, and showed specific publicity governance functions such as mobilization and control, education and clarification, cultivation of public consciousness and shaping government credibility. Conclusions Publicity governance in contingency management during the COVID-19 pandemic emphasizes three effective approaches: time synchronization, organizational scale, and interaction among multiple advocacy agents. This can extend the existing government-centered research to the level of interaction between the government and society, and help the government to better use effective publicity to achieve the governance task under contingency management.

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Section: Introductionmentioning

confidence: 99%

Publicity governance in contingency management during the COVID-19 pandemic in China: A “Government-Society” perspective

Wang,

Peng

2023

PLoS ONE

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“…By assigning greater weights to important tokens, the model converges faster and exhibits better robustness. In recent years, with the integration of Self-Attention in the field of text sentiment analysis [18][19][20], related algorithms have achieved promising results in sentiment analysis tasks [21].…”

Section: Introductionmentioning

confidence: 99%

Sentiment Analysis of Chinese Product Reviews Based on Fusion of DUAL-Channel BiLSTM and Self-Attention

Yuan,

Wang,

Wen

et al. 2023

Future Internet

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Product reviews provide crucial information for both consumers and businesses, offering insights needed before purchasing a product or service. However, existing sentiment analysis methods, especially for Chinese language, struggle to effectively capture contextual information due to the complex semantics, multiple sentiment polarities, and long-term dependencies between words. In this paper, we propose a sentiment classification method based on the BiLSTM algorithm to address these challenges in natural language processing. Self-Attention-CNN BiLSTM (SAC-BiLSTM) leverages dual channels to extract features from both character-level embeddings and word-level embeddings. It combines BiLSTM and Self-Attention mechanisms for feature extraction and weight allocation, aiming to overcome the limitations in mining contextual information. Experiments were conducted on the onlineshopping10cats dataset, which is a standard corpus of e-commerce shopping reviews available in the ChineseNlpCorpus 2018. The experimental results demonstrate the effectiveness of our proposed algorithm, with Recall, Precision, and F1 scores reaching 0.9409, 0.9369, and 0.9404, respectively.

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Improving Chinese Emotion Classification Based on Bilingual Feature Fusion

Lan,

Ou,

Wang

et al. 2024

Lecture Notes in Computer Science

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Microblog Sentiment Analysis Based on Dynamic Character-Level and Word-Level Features and Multi-Head Self-Attention Pooling

Cited by 6 publications

References 33 publications

Publicity governance in contingency management during the COVID-19 pandemic in China: A “Government-Society” perspective

Publicity governance in contingency management during the COVID-19 pandemic in China: A “Government-Society” perspective

Sentiment Analysis of Chinese Product Reviews Based on Fusion of DUAL-Channel BiLSTM and Self-Attention

Improving Chinese Emotion Classification Based on Bilingual Feature Fusion

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