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A Multi-dimensional Relation Model for Dimensional Sentiment Analysis

Housheng Xie, Wei Lin, Shuying Lin, Jin Wang, Liang-Chih Yu
2021 Information Sciences  
To evaluate the proposed method, we created a Chinese three-dimensional corpus with valence-arousal-irony (VAI) ratings.  ...  To evaluate the proposed method, we created a Chinese three-dimensional corpus with valence-arousal-irony (VAI) ratings.  ...  The Chinese valence-arousal words (CVAW) was built to provide two-dimensional valence and arousal ratings for Chinese words [47] .  ... 
doi:10.1016/j.ins.2021.08.052 fatcat:vqze3lpnabe6lgrwmr3nusmosu

Predicting Valence-Arousal Ratings of Words Using a Weighted Graph Method

Liang-Chih Yu, Jin Wang, K. Robert Lai, Xue-jie Zhang
2015 Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)  
In building dimensional sentiment applications, affective lexicons with valence-arousal ratings are useful resources but are still very rare.  ...  values on multiple dimensions, such as the valence-arousal (VA) space, thus allowing for more fine-grained sentiment analysis.  ...  To accomplish this goal, affective lexicons with valence-arousal ratings are useful resources but few exist.  ... 
doi:10.3115/v1/p15-2129 dblp:conf/acl/YuWLZ15 fatcat:l7uosxxrvrfrvp2pcxtjsj7k5m

NCYU at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases using Vector Representations

Jui-Feng Yeh, Jian-Cheng Tsai, Bo-Wei Wu, Tai-You Kuang
2017 International Joint Conference on Natural Language Processing  
The vector-based sentiment phraselike unit analysis models are proposed in this article. E-HowNet-based clustering is used to obtain the values of valence and arousal for sentiment words first.  ...  This paper presents two vector representations proposed by National Chiayi University (NCYU) about phrased-based sentiment detection which was used to compete in dimensional sentiment analysis for Chinese  ...  The sentiment scores of SentiWordNet 3.0 are ranging from 0 to 1 including 0 and 1.The CVAW which contains 1,653 words noted with valence-arousal ratings built by Chinese valence-arousal resources.  ... 
dblp:conf/ijcnlp/YehTWK17 fatcat:akmdfx67hjd3tcmvt6gbmpqslu

Tree-Structured Regional CNN-LSTM Model for Dimensional Sentiment Analysis

Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang
2019 IEEE/ACM Transactions on Audio Speech and Language Processing  
Dimensional sentiment analysis aims to recognize continuous numerical values in multiple dimensions such as the valence-arousal (VA) space.  ...  Index Terms-Dimensional sentiment analysis, valence-arousal prediction, regional CNN-LSTM model, structured parsing.  ...  In the above methods, the valence-arousal ratings of English and Chinese words were respectively taken from the Extended ANEW [52] and Chinese Valence-Arousal Words (CVAW) lexicons [50] .  ... 
doi:10.1109/taslp.2019.2959251 fatcat:rv7tc4rdvbanzbnrul5u6wqpaa

On Constructing a Chinese Task-Oriental Subjectivity Lexicon [chapter]

Xiaoying Xu, Jianhua Tao, Ya Li
2013 Lecture Notes in Computer Science  
Constructing an emotion corpus plays a fundamental role in affective language processing.  ...  Affective language computing has drawn considerable interest in natural language processing area, multiple domains have been developed in this area.  ...  In this model, emotions are points in emotional space along the dimensions of arousal and valence.  ... 
doi:10.1007/978-3-642-45185-0_57 fatcat:jj3y6u4urnhmzb256yhhy3fume

Automatic recognition of emotion evoked by general sound events

Bjorn Schuller, Simone Hantke, Felix Weninger, Wenjing Han, Zixing Zhang, Shrikanth Narayanan
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Results reach correlation coefficients of .61 (arousal) and .49 (valence).  ...  We selected sound clips from different areas of the daily human environment and model them using the increasingly popular dimensional approach in the emotional arousal and valence space.  ...  SCHU 2508/2 and the Chinese Research Council. The authors would further like to thank Jun Deng (TUM) and Masao Yamagiahi (Tokio Institute of Technology) for their contributions.  ... 
doi:10.1109/icassp.2012.6287886 dblp:conf/icassp/SchullerHWHZN12 fatcat:jts7iuc7qnci5dorco554jos7y

The Sentimental Value of Chinese Sub-Character Components

Yassine Benajiba, Or Biran, Zhiliang Weng, Yong Zhang, Jin Sun
2017 Workshop on Chinese Language Processing  
We then focus on qualitatively assessing multiple examples and trying to explain how the sub-character components affect the results in each case.  ...  We conduct a series of experiments on four Chinese sentiment data sets and show that we can significantly improve the performance in various tasks over that of a characterlevel embeddings baseline.  ...  In this task, terms are labeled with two numeric values, one for the valence of the term and one for the arousal, together comprising the term's location in the valence-arousal affect space (Russell,  ... 
dblp:conf/acl-sighan/BenajibaBWZS17 fatcat:5xualxhrf5eg5afymdg4gzp5c4

Deep Feelings

Marco Guerini, Jacopo Staiano
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
explanatory model rooted in the deep structure of emotions: the Valence-Arousal-Dominance (VAD) circumplex.  ...  We highlight and discuss our findings in light of a cross-lingual approach: while we discover differences in evoked emotions and corresponding viral effects, we provide preliminary evidence of a generalized  ...  Staiano has been partially funded by the French government through the National Agency for Research (ANR) under the Sorbonne Universités Excellence Initiative program (Idex, reference ANR-11-IDEX-0004-02) in  ... 
doi:10.1145/2740908.2743058 dblp:conf/www/GueriniS15 fatcat:mei52tzqqvd5zcaizusahsp7my

Valence and Arousal-Infused Bi-Directional LSTM for Sentiment Analysis of Government Social Media Management

Yu-Ya Cheng, Yan-Ming Chen, Wen-Chao Yeh, Yung-Chun Chang
2021 Applied Sciences  
It first forecasts the sentiment information in terms of Valence and Arousal (VA) values of the smallest unit in a text, and later fuses this into a deep learning model to further analyze the sentiment  ...  hidden in those words.  ...  The findings indicated that the system's ability in predicting valence and arousal dimensions for Chinese words is outstanding. Zhou et al.  ... 
doi:10.3390/app11020880 fatcat:rhykyso26bephlx6dq4vr6juyq

Amplifying a Sense of Emotion toward Drama-Long Short-Term Memory Recurrent Neural Network for dynamic emotion recognition

Huang-Cheng Chou, Chun-Min Chang, Yu-Shuo Liu, Shiuan-Kai Kao, Chi-Chun Lee
2017 Taiwan Conference on Computational Linguistics and Speech Processing  
Using Long Short-Term Memory Recurrent Neural Network to model and predict dynamic emotion(Arousal and Valence) recognition.  ...  The database we used is NNIME (The NTHU-NTUA Chinese Interactive Multimodal Emotion Corpus) [1]. NNIME is a newlycollected multimodal corpus.  ...  RGB version is to change the RGB value according to the value of Valence and Arousal. As the Valence and Arousal increase, the Red and blue elements would enhance in the video accordingly.  ... 
dblp:conf/rocling/ChouCLKL17 fatcat:pzohjvsglnegrh2t7k2nt42apa

Can situations awaken emotions? The compilation and evaluation of the Emotional Situation Sentence System (ESSS)

Yuan Zhao, Ming Yin, Chuanlin Zhu, Chenghui Tan, Shengjie Hu, Dianzhi Liu, Zezhi Li
2021 PLoS ONE  
Study 2 included 30 participants to compare the difference in valence and arousal between the ESSS and emotional pictures.  ...  The ESSS sentences were rated on their degree of valence, arousal, and dominance using a 9-point scale.  ...  Previous studies also used emotional systems involving words, such as the affective norms for English words (ANEW) [21] and the Chinese emotion adjective words system [29] .  ... 
doi:10.1371/journal.pone.0252671 pmid:34280194 pmcid:PMC8289053 fatcat:ihwxy4jvhbgrzdblzoctjhj7ya

EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis

Sven Buechel, Udo Hahn
2017 Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers  
We describe EMOBANK, a corpus of 10k English sentences balancing multiple genres, which we annotated with dimensional emotion metadata in the Valence-Arousal-Dominance (VAD) representation format.  ...  We find evidence for the supremacy of the reader's perspective in terms of IAA and rating intensity, and achieve close-to-human performance when mapping between dimensional and categorical formats.  ...  We close both gaps with EMOBANK, the first large-scale text corpus which builds on the Valence-Arousal-Dominance model of emotion, an approach that has only recently gained increasing popularity within  ... 
doi:10.18653/v1/e17-2092 dblp:conf/eacl/HahnB17 fatcat:6e5ablul3jc5louotet76uzysm

Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem

Sven Buechel, Udo Hahn
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)  
While research has focused on polarity for quite a long time, meanwhile this early focus has been shifted to more expressive emotion representation models (such as Basic Emotions or Valence-Arousal-Dominance  ...  This change resulted in a proliferation of heterogeneous formats and, in parallel, often smallsized, non-interoperable resources (lexicons and corpus annotations).  ...  Acknowledgments We would like to thank the Positive Psychology Center, University of Pennsylvania for providing us with the embedding model used in Sedoc et al. (2017) , Johannes Hellrich, JULIE Lab,  ... 
doi:10.18653/v1/n18-1173 dblp:conf/naacl/BuechelH18 fatcat:yqkxxxr3vnbfxpvdkof2ygfjgm

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild [article]

Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Bjorn Schuller, Kam Star, Elnar Hajiyev, Maja Pantic
2019 arXiv   pre-print
This database aims to be an extremely valuable resource for researchers in affective computing and automatic human sensing and is expected to push forward the research in human behaviour analysis, including  ...  The database includes rich annotations of the recordings in terms of facial landmarks, facial action units (FAU), various vocalisations, mirroring, and continuously valued valence, arousal, liking, agreement  ...  different categories or dimensions of affect.  ... 
arXiv:1901.02839v1 fatcat:e4btmg2x3ze7zcnp5drqn5nqsu

The Effects of Country-Related Affect on Product Evaluations

Cathy Yi Chen, Pragya Mathur, Durairaj Maheswaran
2014 Journal of Consumer Research  
In four experiments, this research examines the effect of country-related affect (CRA) on the evaluations of products originating from the country.  ...  Country-related affect (CRA) systematically influences product evaluations depending on the valence as well as the warmth or competence associations of CRA.  ...  Chinese) company to an iPad (made in the United States) on six attribute dimensions.  ... 
doi:10.1086/678194 fatcat:hodlr4muhnboro5o46ykjtjl3y
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