On the need of hierarchical emotion classification: Detecting the implicit feature using constrained topic model

Author:

Zhang Fan1,Xu Hua1,Bai Xiaoli2

Affiliation:

1. State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China

2. Shijiazhuang Preschool Teachers College, Shijiazhuang 050228, Hebei, China

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference23 articles.

1. LIBSVM: A library for support vector machines;Chang;ACM Transactions on Intelligent Systems and Technology,2011

2. Hierarchical emotion classification and emotion component analysis on chinese micro-blog posts;Xu;Expert Systems with Applications

3. Lexicon-based methods for sentiment analysis;Taboada;Computational Linguistics,2011

4. X. Ding, B. Liu and P.S. Yu, A holistic lexicon-based approach to opinion mining, in: Proceedings of the 2008 International Conference on Web Search and Data Mining, ACM, 2008, pp. 231–240.

5. Cross-linguistic sentiment analysis: From english to spanish;Brooke;RANLP,2009

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1. Applying Latent Dirichlet Allocation and Support Vector Regression to the Aesthetic Design of Medical Nursing Beds;Journal of Computing and Information Science in Engineering;2023-05-09

2. Knowledge‐enriched joint‐learning model for implicit emotion cause extraction;CAAI Transactions on Intelligence Technology;2022-04-28

3. Multimodal emotion recognition with hierarchical memory networks;Intelligent Data Analysis;2021-07-09

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