Text Feature Fusion is a feature-level fusion method that integrates complementary textual representations from multiple sources or modalities into a unified feature space to enhance semantic understanding in natural language processing tasks.
334
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16.6K
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1.3K
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423
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Publications per year
2017–2026
251
Parents
Publications
334
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier et al. · 2016 · 427 citations · Full text
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
Yitao Cai, Huiyu Cai, Xiaojun Wan · 2019 · 353 citations · Full text
Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM)
Muhammad Umer, Zainab Imtiaz, Saleem Ullah et al. · IEEE Access · 2020 · 323 citations · Full text
1–5 of 334
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Institutions
423
Chinese Academy of Sciences
Beijing, China
10 h-index
25 publications
2.6K citations
Peking University
Beijing, China
8 h-index
22 publications
1.5K citations
Nanyang Technological University
Singapore, Singapore
6 h-index
11 publications
2K citations
Tsinghua University
Beijing, China
6 h-index
17 publications
834 citations
Wuhan University
Wuhan, China
6 h-index
19 publications
702 citations
University of Electronic Science and Technology of China
Chengdu, China
5 h-index
18 publications
711 citations
Beihang University
Beijing, China
5 h-index
18 publications
1K citations
Hefei University of Technology
Hefei, China
5 h-index
12 publications
675 citations
1–8 of 423
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- IEEE Access
27 publications · 1.5K citations
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Repository · 12 publications · 353 citations
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- Neurocomputing
9 publications · 379 citations
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- Expert Systems with Applications
8 publications · 744 citations
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- Knowledge-Based Systems
7 publications · 479 citations
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