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Peranut Nimitsurachat and Peter Washington
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective computing using audio data is rich, a m...
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Xing Liu, Fupeng Wei, Wei Jiang, Qiusheng Zheng, Yaqiong Qiao, Jizong Liu, Liyue Niu, Ziwei Chen and Hangcheng Dong
Existing methods for monitoring internet public opinion rely primarily on regular crawling of textual information on web pages but cannot quickly and accurately acquire and identify textual information in images and videos and discriminate sentiment. The...
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Rui Zhang, Chengrong Xue, Qingfu Qi, Liyuan Lin, Jing Zhang and Lun Zhang
The enrichment of social media expression makes multimodal sentiment analysis a research hotspot. However, modality heterogeneity brings great difficulties to effective cross-modal fusion, especially the modality alignment problem and the uncontrolled ve...
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Xu Chen, Zihe Wang and Xuan Di
This paper aims to leverage Twitter data to understand travel mode choices during the pandemic. Tweets related to different travel modes in New York City (NYC) are fetched from Twitter in the two most recent years (January 2020?January 2022). Building on...
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Roberto Yuri da Silva Franco, Rodrigo Santos do Amor Divino Lima, Rafael do Monte Paixão, Carlos Gustavo Resque dos Santos and Bianchi Serique Meiguins
This paper presents UXmood, a tool that provides quantitative and qualitative information to assist researchers and practitioners in the evaluation of user experience and usability. The tool uses and combines data from video, audio, interaction logs and ...
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