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HATDO: hybrid Archimedes Tasmanian devil optimization CNN for classifying offensive comments and non-offensive comments
The evolution of social media and online platforms created more opportunities to express one’s thoughts without any burden. This emergence paved the...
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Effects of Microblog Comments on Chinese User's Sentiment with COVID-19 Epidemic Topics
Social media is one of the most significant sources of information in modern people’s life. Due to the large quantity of user base and public...
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Extracting entity and relationship interactions from danmaku-video comments using a neural bootstrap** framework
Danmaku-enabled videos have revolutionized the way online users engage with and enjoy video content, and creating a dynamic and interactive...
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A Joint Framework for Knowledge Extraction from Flight Training Comments
The flight training comments are textual evaluation from the instructor to the flight training students. Extracting the assessment experience and...
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CCPC: A Hierarchical Chinese Corpus for Patronizing and Condescending Language Detection
Patronizing and Condescending Language (PCL) is a form of implicitly toxic speech aimed at vulnerable groups with the potential to cause them...
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E-Newspaper in International Chinese Language Education
Newspapers in Education prevails in many countries around the world and has great achievements. The research finds that the use of e-newspaper in...
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Intelligent Chinese Speech Learning Correction System
In order to meet the learning needs of Chinese learners and help them correct the nonstandard pronunciation of Mandarin, the project team applies...
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CBDN: A Chinese Short-Text Classification Model Based on Chinese BERT and Fused Deep Neural Networks
To address the common issues in Chinese short-text classification caused by the lack of contextual information, ambiguity, and sparsity of semantic...
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Teaching Pre-editing for Chinese-to-English MT: An Experiment with Controlled Chinese Rules
This paper aims to explore whether the training in pre-editing based on controlled Chinese rules can help students better cooperate with machine...
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Detection of homophobia and transphobia in YouTube comments
Users of online platforms have negative effects on their mental health as a direct result of the spread of abusive content across social media...
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Leveraging posts’ and authors’ metadata to spot several forms of abusive comments in Twitter
Social media is frequently plagued with undesirable phenomena such as cyberbullying and abusive content in the form of hateful and racist posts....
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How Do People React to COVID-19 Vaccination? A Corpus-Based Study of Macau Netizens’ Online Comments
This study draws on corpus methodology to investigate people’s reactions to COVID-19 vaccination using the data of Macau netizens’ comments on a...
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Video emotion analysis enhanced by recognizing emotion in video comments
Video emotion analysis is one of the hottest topics in the video understanding community to cognize the emotion in videos for affective computing,...
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Hope speech detection in YouTube comments
Recent work on language technology has tried to recognize abusive language such as those containing hate speech and cyberbullying and enhance...
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A Study on Semantic Shift of Uncivilized Words in Bullet-Screen Comments
Based on the theory of sentiment analysis and semantic prosody, this paper investigates the semantic shift of uncivilized words in bullet-screen...
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Transformer-Encoder-GRU (T-E-GRU) for Chinese Sentiment Analysis on Chinese Comment Text
Chinese sentiment analysis (CSA) has always been one of the challenges in natural language processing due to its complexity and uncertainty....
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How can users’ comments posted on social media videos be a source of effective tags?
This paper proposed a new approach for the extraction of tags from users’ comments made about videos. In fact, videos on the social media, like...
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Exploiting comments information to improve legal public opinion news abstractive summarization
Automatically generating a brief summary for legal-related public opinion news (LPO-news, which contains legal words or phrases) plays an important...
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Neural kernel map** SVM model based on multi-head self-attention for classification of Chinese meteorological disaster warning texts
Meteorological disaster warning information plays an important role in our life. However, if the meteorological department mistakenly sends incorrect...
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Six-Writings multimodal processing with pictophonetic coding to enhance Chinese language models
While large language models (LLMs) have made significant strides in natural language processing (NLP), they continue to face challenges in adequately...