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Cross-media web video event mining based on multiple semantic-paths embedding
Web video event mining based on cross-media fusion has become a research hotspot. However, each video is only described by a dozen noisy words,...
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Cross-media correlation learning for web video event mining with integrated text semantics and network structural information
Recently, cross-media web video event mining based on heterogeneous information networks (HIN) has attracted extensive attention. However, each web...
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Integrating higher-order relations for enhanced twitter bot detection
Bot detection is a critical task in preserving the integrity of social networks and mitigating online disinformation. Despite advances in graph-based...
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Cross-Media Digital Form Design and Comparative Measurement of Intangible Cultural Heritage in Zhuhai: Promoting Cultural Exchange and Global Communication
Background: In the context of globalization today, cultural diversity and modern media communication are particularly important for preserving and...
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Automated Requirements Relations Extraction
In the context of requirements engineering, relation extraction involves identifying and documenting the associations between different requirements...
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Exploring language relations through syntactic distances and geographic proximity
Languages are grouped into families that share common linguistic traits. While this approach has been successful in understanding genetic relations...
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Equilibrating the scales: balancing and power relations in the age of AI
As artificial intelligence (AI) continues to reshape our world, the spectre of technological domination looms large. This paper delves into the...
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Jointly Learning Type-Aware Relations and Inter-Aspect with Graph Convolutional Networks for Aspect Sentiment Analysis
This paper presents a novel approach for aspect-level sentiment analysis by leveraging the relationships between dependent types and aspects. The...
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Cross-platform comparison of framed topics in Twitter and Weibo: machine learning approaches to social media text mining
While the salience of social media platforms on modern interactive communication between diverse social actors has been demonstrated, less academic...
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A multimodal sentiment analysis approach for tweets by comprehending co-relations between information modalities
With the popularity of smart devices and online social media platforms, people are expressing their views in various modalities like text, images,...
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Global-SEG: Text Semantic Segmentation Based on Global Semantic Pair Relations
Text semantic segmentation is a crucial task in language understanding, as subsequent natural language processing tasks often require cohesive...
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Towards the identification of bug entities and relations in bug reports
During the bug fixing process, developers usually analyze the historical relevant bug reports in bug repository to support various bug analysis and...
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Design and Evaluation of a Cross Social Media Alerting System
The research field of crisis informatics examines, amongst others, the potentials and barriers of social media use during conflicts and crises....
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A survey on extraction of causal relations from natural language text
As an essential component of human cognition, cause–effect relations appear frequently in text, and curating cause–effect relations from text helps...
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Reimagining China-US Relations Prediction: A Multi-modal, Knowledge-Driven Approach with KDSCINet
Statistical models and data driven models have achieved remarkable results in international relation forecasting. However, most of these models have...
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Multi-aware coreference relation network for visual dialog
As a challenging cross-media task, visual dialog assesses whether an AI agent can converse in human language based on its understanding of visual...
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Pattern of Facebook use by university students during the COVID-19 pandemic: relations with loneliness and resilience
Considering young adults’ extensive use of social media since the outbreak of the COVID-19 pandemic, the present study examined the pattern of...
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Root Cause Analysis Based on Relations Among Sentiment Words
Sentiment analysis is a useful method to extract user preferences from product reviews; however, it cannot explain the detailed reasons for user...
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Multi-platform Framing Analysis: A Case Study of Kristiansand Quran Burning
The framing of events in various media and discourse spaces is crucial in the era of misinformation and polarization. Many studies, however, are...
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Scale and Scaling Relations
Readers old enough to recall using paper maps are already familiar with the concept of scale. A scale was printed on the map and it specified the...